Triple
T26432304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newfoundland and Labrador offshore oil industry |
E664542
|
entity |
| Predicate | firstProducingField |
P196650
|
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, firstProducingField, Hibernia oil field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstProducingField Context triple: [Newfoundland and Labrador offshore oil industry, firstProducingField, Hibernia oil field]
-
A.
firstFielded
Indicates the time or context in which something (such as a system, product, or unit) was first put into operational use or deployed.
-
B.
firstProductionAfter
Indicates that one production event occurs immediately after another in a defined sequence or timeline.
-
C.
firstProduction
Indicates that an entity is the earliest or initial production or manufactured instance associated with another entity.
-
D.
firstProductionType
Indicates the type or category of the initial production associated with an entity, such as its first manufacturing, creation, or release process.
-
E.
firstProducedFor
Indicates that something was initially created, manufactured, or developed specifically for a particular recipient, purpose, or context.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69fe610d75a48190bfd08a9bb957fcd3 |
completed | May 8, 2026, 10:17 p.m. |
Created at: April 26, 2026, 11:50 p.m.