Triple
T34188149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashagan oil field |
E877019
|
entity |
| Predicate | reservoirTemperature |
P179372
|
FINISHED |
| Object | high temperature |
—
|
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: high temperature | Statement: [Kashagan oil field, reservoirTemperature, high temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirTemperature Context triple: [Kashagan oil field, reservoirTemperature, high temperature]
-
A.
reservoirPressure
Indicates the pressure present within a reservoir, typically reflecting the force exerted by the contained fluid on its boundaries.
-
B.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
-
C.
reservoirFunction
Indicates that one entity serves as a storage or holding system (a reservoir) for another entity, such as a substance, resource, or fluid.
-
D.
waterTemperatureAtSource
Indicates the temperature of water measured at its point of origin or source location.
-
E.
caveTemperature
Indicates the temperature measured or present within a cave environment.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720cc1bfc8190a16118e3af8e9316 |
completed | May 3, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71fb0172c81908f23e95ff16b0dec |
completed | May 3, 2026, 10:13 a.m. |
Created at: May 1, 2026, 1:55 a.m.