Triple
T30092786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Eastern Coalfields Limited |
E764780
|
entity |
| Predicate | parentHoldingCompanySector |
P48517
|
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: [South Eastern Coalfields Limited, parentHoldingCompanySector, coal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentHoldingCompanySector Context triple: [South Eastern Coalfields Limited, parentHoldingCompanySector, coal]
-
A.
hasParentCompanyIndustry
Indicates that an entity’s parent company operates in, or is associated with, a specified industry.
-
B.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
C.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
-
D.
sectorOfParentOrganization
chosen
Indicates that the specified sector or industry classification belongs to, or characterizes, the parent organization of the given entity.
-
E.
underlyingCompanyParent
Indicates that one company serves as the parent or controlling entity of another company that underlies or supports a given structure, arrangement, or instrument.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 29, 2026, 7:06 p.m.