Triple
T23726578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coalinga Oil Field |
E586292
|
entity |
| Predicate | structuralTrapType |
P31461
|
FINISHED |
| Object | anticlinal trap |
—
|
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: anticlinal trap | Statement: [Coalinga Oil Field, structuralTrapType, anticlinal trap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structuralTrapType Context triple: [Coalinga Oil Field, structuralTrapType, anticlinal trap]
-
A.
structuralSystemType
Indicates the type or classification of the structural system employed in or associated with an entity.
-
B.
typicalStructuralElement
Indicates that one entity is a standard or characteristic structural component commonly found within or forming part of another entity.
-
C.
trapType
chosen
Indicates the specific kind or category of trap associated with an entity or situation.
-
D.
structuralIssues
Indicates that there are problems or deficiencies in the design, construction, or integrity of a structure or system.
-
E.
structureTypeBuilt
Indicates the type or kind of structure that was constructed in a building or creation event.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b915a888819088e92f99711e8120 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:08 p.m.