Triple
T24596573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Census Bureau West South Central division |
E608688
|
entity |
| Predicate | hasOnshoreOilAndGasProduction |
P156693
|
FINISHED |
| Object | Texas |
—
|
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: Texas | Statement: [United States Census Bureau West South Central division, hasOnshoreOilAndGasProduction, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnshoreOilAndGasProduction Context triple: [United States Census Bureau West South Central division, hasOnshoreOilAndGasProduction, Texas]
-
A.
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.
-
B.
containsOilField
Indicates that one entity geographically includes or encompasses an oil field within its boundaries.
-
C.
hasSignificantOilReservesInRegion
Indicates that an entity possesses substantial oil reserves located within a specified geographic region.
-
D.
hasNearbyOilAndGasFields
Indicates that an entity is located close to one or more oil and gas extraction fields.
-
E.
hasProductionWells
Indicates that an entity possesses or is associated with one or more production wells used for extracting resources.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:30 a.m.