Triple
T26325570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gondwana coalfields |
E662241
|
entity |
| Predicate | hostMajorDeposit |
P41723
|
FINISHED |
| Object | Godavari Valley coalfield |
E850508
|
NE 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: Godavari Valley coalfield | Statement: [Gondwana coalfields, hostMajorDeposit, Godavari Valley coalfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostMajorDeposit Context triple: [Gondwana coalfields, hostMajorDeposit, Godavari Valley coalfield]
-
A.
hasMajorDepositIn
chosen
Indicates that an entity possesses a significant or primary deposit, typically of a resource or asset, located in a specified place.
-
B.
oreDeposit
Indicates the presence or occurrence of a concentrated natural accumulation of ore at or within a specified location or geological context.
-
C.
hostsMajorityOf
Indicates that one entity accommodates, contains, or supports more than half of the members or instances of another entity.
-
D.
hasMajor
Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
-
E.
leftDeposits
Indicates that an entity has placed or left deposits (such as money or resources) with another entity or at a particular location.
- F. None of above.
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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15b8633b008190a102b99892c11876 |
completed | May 26, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 26, 2026, 10:30 p.m.