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.