Triple
T27073340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibú |
E685387
|
entity |
| Predicate | locatedInOilRegion |
P103349
|
FINISHED |
| Object | Catatumbo oil 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: Catatumbo oil fields | Statement: [Tibú, locatedInOilRegion, Catatumbo oil fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInOilRegion Context triple: [Tibú, locatedInOilRegion, Catatumbo oil fields]
-
A.
isPartOfOilRichRegion
chosen
Indicates that an entity is located within or belongs to a geographic area characterized by abundant oil resources.
-
B.
hasSignificantOilReservesInRegion
Indicates that an entity possesses substantial oil reserves located within a specified geographic region.
-
C.
hasOnshoreOilAndGasProduction
Indicates that an entity engages in or possesses facilities for extracting oil and/or natural gas from onshore (land-based) fields.
-
D.
containsOilField
Indicates that one entity geographically includes or encompasses an oil field within its boundaries.
-
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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: April 27, 2026, 8:29 a.m.