Triple
T35502385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gumdag |
E1026046
|
entity |
| Predicate | isLocatedInHydrocarbonArea |
P25373
|
FINISHED |
| Object | oil-producing area |
—
|
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: oil-producing area | Statement: [Gumdag, isLocatedInHydrocarbonArea, oil-producing area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInHydrocarbonArea Context triple: [Gumdag, isLocatedInHydrocarbonArea, oil-producing area]
-
A.
hasNearbyOilAndGasFields
Indicates that an entity is located close to one or more oil and gas extraction fields.
-
B.
hydrocarbonPotential
Indicates the degree to which a geological unit or material is capable of generating, containing, or yielding hydrocarbons such as oil or natural gas.
-
C.
hasOnshoreOilAndGasProduction
Indicates that an entity engages in or possesses facilities for extracting oil and/or natural gas from onshore (land-based) fields.
-
D.
hasNearbyOilField
chosen
Indicates that an entity is located close to or in the vicinity of an oil field.
-
E.
hasHydrocarbonTraps
Indicates the presence of geological structures or conditions that can accumulate and retain hydrocarbons such as oil or gas.
- 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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:04 p.m.