Triple
T1456689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern India |
E31415
|
entity |
| Predicate | hasImportantMineral |
P28979
|
FINISHED |
| Object | coal |
—
|
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: coal | Statement: [Eastern India, hasImportantMineral, coal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImportantMineral Context triple: [Eastern India, hasImportantMineral, coal]
-
A.
hasNotableMine
Indicates that an entity possesses or is associated with a mine considered significant or noteworthy in some context.
-
B.
quarriedFor
Indicates that a location or source is excavated or mined in order to obtain a particular material or resource.
-
C.
hasMiningDistrict
Indicates that an entity possesses, contains, or is associated with a designated mining district within its domain or jurisdiction.
-
D.
hasUndergroundMine
Indicates that one entity possesses, controls, or contains an underground mine associated with it.
-
E.
hasEconomicImportanceFor
Indicates that one entity holds economic value, benefit, or significance for another entity.
- F. None of above. chosen
Provenance (4 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c598b30c8190b87207adf608b89a |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.