Triple
T34261309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Basin Platform |
E879038
|
entity |
| Predicate | isMajorOilProducingArea |
P103349
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Central Basin Platform, isMajorOilProducingArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorOilProducingArea Context triple: [Central Basin Platform, isMajorOilProducingArea, true]
-
A.
hasSignificantOilReservesInRegion
Indicates that an entity possesses substantial oil reserves located within a specified geographic region.
-
B.
isPartOfOilRichRegion
chosen
Indicates that an entity is located within or belongs to a geographic area characterized by abundant oil resources.
-
C.
hasOnshoreOilAndGasProduction
Indicates that an entity engages in or possesses facilities for extracting oil and/or natural gas from onshore (land-based) fields.
-
D.
hasMajorOffshoreOilField
Indicates that a country or region possesses at least one large, economically significant oil field located offshore in its territorial waters or exclusive economic zone.
-
E.
isOilIndustryHub
Indicates that a location serves as a central focal point for activities, infrastructure, and operations related to the oil industry.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 1, 2026, 1:56 a.m.