Triple
T241290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inventory of U.S. Greenhouse Gas Emissions and Sinks |
E4936
|
entity |
| Predicate | spatialCoverage |
P3227
|
FINISHED |
| Object | territory of the United States |
—
|
LITERAL FINISHED |
How this triple was built (2 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: territory of the United States | Statement: [Inventory of U.S. Greenhouse Gas Emissions and Sinks, spatialCoverage, territory of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spatialCoverage Context triple: [Inventory of U.S. Greenhouse Gas Emissions and Sinks, spatialCoverage, territory of the United States]
-
A.
mapCoverage
Indicates the extent or area that is represented, covered, or included by a particular map.
-
B.
hasLandCoverage
Indicates that a specified area or region is covered or occupied by a particular type of land surface or land use.
-
C.
peakTerritorialExtent
Indicates the maximum geographic area or territorial size that an entity controlled or occupied at the height of its expansion.
-
D.
geographicContext
chosen
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
E.
featureOfInterest
Indicates the entity or object that is the primary subject or focus of the described observation, measurement, or analysis.
- F. None of above.
Provenance (3 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b60ad308190b12f119960a8bde7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.