Triple
T32801261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bintulu |
E838900
|
entity |
| Predicate | nearOffshoreGasFields |
P128062
|
FINISHED |
| Object | Central Luconia gas fields |
—
|
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: Central Luconia gas fields | Statement: [Bintulu, nearOffshoreGasFields, Central Luconia gas fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearOffshoreGasFields Context triple: [Bintulu, nearOffshoreGasFields, Central Luconia gas fields]
-
A.
hasNearbyOilAndGasFields
Indicates that an entity is located close to one or more oil and gas extraction fields.
-
B.
nearbyGasFields
Indicates that one gas field is located close to another gas field in geographic space.
-
C.
nearbyGasField
chosen
Indicates that one entity is located close to a gas field associated with the other entity.
-
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.
nearbyOilField
Indicates that one location is situated close to 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:14 a.m.