Triple
T35262902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auraiya |
E1018415
|
entity |
| Predicate | hasNearbyGasPlant |
P201593
|
FINISHED |
| Object | GAIL gas processing facilities at Dibiyapur |
—
|
NE NERFINISHED |
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: GAIL gas processing facilities at Dibiyapur | Statement: [Auraiya, hasNearbyGasPlant, GAIL gas processing facilities at Dibiyapur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyGasPlant Context triple: [Auraiya, hasNearbyGasPlant, GAIL gas processing facilities at Dibiyapur]
-
A.
hasNearbyPowerPlants
Indicates that one entity is located close to one or more power plants.
-
B.
nearbyGasField
Indicates that one entity is located close to a gas field associated with the other entity.
-
C.
nearbyGasFields
Indicates that one gas field is located close to another gas field in geographic space.
-
D.
hasNearbyOilAndGasFields
Indicates that an entity is located close to one or more oil and gas extraction fields.
-
E.
hasNearbyOilField
Indicates that an entity is located close to or in the vicinity of an oil field.
- 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_69f76de4be5c8190a51705c07612cac8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a000a1d8fa88190a1d82ac746565c48 |
completed | May 10, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_6a0008b26eb88190ae03b2309a614774 |
completed | May 10, 2026, 4:25 a.m. |
| PDg | Predicate description generation | batch_6a000a1c8f8881908293ab4f7207d25f |
completed | May 10, 2026, 4:31 a.m. |
Created at: May 3, 2026, 4:02 p.m.