Triple
T3516480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orinoco Belt |
E74319
|
entity |
| Predicate | estimatedOilInPlace |
P7404
|
FINISHED |
| Object | over 1 trillion barrels |
—
|
LITERAL FINISHED |
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: over 1 trillion barrels | Statement: [Orinoco Belt, estimatedOilInPlace, over 1 trillion barrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedOilInPlace Context triple: [Orinoco Belt, estimatedOilInPlace, over 1 trillion barrels]
-
A.
hasSignificantOilReservesInRegion
chosen
Indicates that an entity possesses substantial oil reserves located within a specified geographic region.
-
B.
hydrocarbonPotential
Indicates the degree to which a geological unit or material is capable of generating, containing, or yielding hydrocarbons such as oil or natural gas.
-
C.
containsOilField
Indicates that one entity geographically includes or encompasses an oil field within its boundaries.
-
D.
nearbyOilField
Indicates that one location is situated close to an oil field.
-
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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc31c0688190a890621a901f5f5f |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.