Triple
T6794599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gadchiroli |
E156021
|
entity |
| Predicate | hasSignificantAreaCoveredBy |
P66139
|
FINISHED |
| Object | forests |
—
|
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: forests | Statement: [Gadchiroli, hasSignificantAreaCoveredBy, forests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantAreaCoveredBy Context triple: [Gadchiroli, hasSignificantAreaCoveredBy, forests]
-
A.
mayCoverArea
Indicates that one entity is permitted or able to extend over, include, or encompass a specified spatial area.
-
B.
coveredArea
chosen
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
-
C.
hasLandCoverage
Indicates that a specified area or region is covered or occupied by a particular type of land surface or land use.
-
D.
isCoveredIn
Indicates that one entity has its surface or area overlaid, coated, or blanketed by another substance or material.
-
E.
fieldCovered
Indicates that a specified field or area is physically or functionally covered by some material, object, or condition.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c59648819081736d27d52d957f |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:15 p.m.