Triple
T1701623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Task Force on National Greenhouse Gas Inventories |
E36778
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
Good Practice Guidance for Land Use, Land-Use Change and Forestry
Good Practice Guidance for Land Use, Land-Use Change and Forestry is an IPCC methodological report that provides internationally agreed guidelines for estimating and reporting greenhouse gas emissions and removals from land use and forestry sectors.
|
E36778
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Good Practice Guidance for Land Use, Land-Use Change and Forestry | Statement: [Task Force on National Greenhouse Gas Inventories, product, Good Practice Guidance for Land Use, Land-Use Change and Forestry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Practice Guidance for Land Use, Land-Use Change and Forestry Context triple: [Task Force on National Greenhouse Gas Inventories, product, Good Practice Guidance for Land Use, Land-Use Change and Forestry]
-
A.
Global Forest Resources Assessment
The Global Forest Resources Assessment is a periodic, comprehensive report by the Food and Agriculture Organization (FAO) that evaluates the status, trends, and management of the world’s forests using standardized global data.
-
B.
State of the World’s Forests
State of the World’s Forests is a recurring flagship report that provides global assessments and analysis of the status, trends, and policy issues related to the world’s forests and forestry sector.
-
C.
Special Report on Climate Change and Land
The Special Report on Climate Change and Land is a landmark IPCC assessment examining how climate change affects land systems and how land use, agriculture, and forestry can contribute to both mitigation and adaptation.
-
D.
Task Force on National Greenhouse Gas Inventories
The Task Force on National Greenhouse Gas Inventories is an expert body that develops internationally accepted methodologies and guidelines for countries to estimate and report their greenhouse gas emissions and removals.
-
E.
ForestGEO global forest monitoring network
The ForestGEO global forest monitoring network is an international consortium of long-term forest research plots that tracks tree dynamics and biodiversity to understand how forests function and respond to environmental change.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Good Practice Guidance for Land Use, Land-Use Change and Forestry Triple: [Task Force on National Greenhouse Gas Inventories, product, Good Practice Guidance for Land Use, Land-Use Change and Forestry]
Generated description
Good Practice Guidance for Land Use, Land-Use Change and Forestry is an IPCC methodological report that provides internationally agreed guidelines for estimating and reporting greenhouse gas emissions and removals from land use and forestry sectors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Good Practice Guidance for Land Use, Land-Use Change and Forestry Target entity description: Good Practice Guidance for Land Use, Land-Use Change and Forestry is an IPCC methodological report that provides internationally agreed guidelines for estimating and reporting greenhouse gas emissions and removals from land use and forestry sectors.
-
A.
Global Forest Resources Assessment
The Global Forest Resources Assessment is a periodic, comprehensive report by the Food and Agriculture Organization (FAO) that evaluates the status, trends, and management of the world’s forests using standardized global data.
-
B.
State of the World’s Forests
State of the World’s Forests is a recurring flagship report that provides global assessments and analysis of the status, trends, and policy issues related to the world’s forests and forestry sector.
-
C.
Special Report on Climate Change and Land
The Special Report on Climate Change and Land is a landmark IPCC assessment examining how climate change affects land systems and how land use, agriculture, and forestry can contribute to both mitigation and adaptation.
-
D.
Task Force on National Greenhouse Gas Inventories
chosen
The Task Force on National Greenhouse Gas Inventories is an expert body that develops internationally accepted methodologies and guidelines for countries to estimate and report their greenhouse gas emissions and removals.
-
E.
ForestGEO global forest monitoring network
The ForestGEO global forest monitoring network is an international consortium of long-term forest research plots that tracks tree dynamics and biodiversity to understand how forests function and respond to environmental change.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62d6c7c88190998ce97d65395280 |
completed | March 6, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad799f98e48190b9eaf6f5151f4c80 |
completed | March 8, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69ad7a224d248190b0d1a7f70b76c164 |
completed | March 8, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7b4b4a208190966fa07a6f0d626e |
completed | March 8, 2026, 1:36 p.m. |
Created at: March 4, 2026, 7:30 p.m.