Triple
T26432297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newfoundland and Labrador offshore oil industry |
E664542
|
entity |
| Predicate | includesOilField |
P27831
|
FINISHED |
| Object | Hibernia oil field |
—
|
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: Hibernia oil field | Statement: [Newfoundland and Labrador offshore oil industry, includesOilField, Hibernia oil field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesOilField Context triple: [Newfoundland and Labrador offshore oil industry, includesOilField, Hibernia oil field]
-
A.
containsOilField
chosen
Indicates that one entity geographically includes or encompasses an oil field within its boundaries.
-
B.
oilFieldName
Indicates that an oil field is identified by a specific name.
-
C.
hasOnshoreOilAndGasProduction
Indicates that an entity engages in or possesses facilities for extracting oil and/or natural gas from onshore (land-based) fields.
-
D.
isOilIndustryHub
Indicates that a location serves as a central focal point for activities, infrastructure, and operations related to the oil industry.
-
E.
hasNearbyOilField
Indicates that an entity is located close to or in the vicinity of an oil field.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: April 26, 2026, 11:50 p.m.