Triple
T9123883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vankor oil field |
E218924
|
entity |
| Predicate | approximateRecoverableReservesOil |
P48484
|
FINISHED |
| Object | more than 500 million tonnes |
—
|
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: more than 500 million tonnes | Statement: [Vankor oil field, approximateRecoverableReservesOil, more than 500 million tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateRecoverableReservesOil Context triple: [Vankor oil field, approximateRecoverableReservesOil, more than 500 million tonnes]
-
A.
recoverableReservesEstimate
chosen
Indicates an estimated quantity of reserves that can be economically and technically recovered under current conditions.
-
B.
hasSignificantOilReservesInRegion
Indicates that an entity possesses substantial oil reserves located within a specified geographic region.
-
C.
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.
-
D.
hasEstimatedNumberOfBunkers
Indicates that an entity is associated with an approximate or estimated count of bunkers.
-
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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b5fa188190be6465e74cf26915 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:17 p.m.