Triple
T7438766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebron (oil field) |
E171689
|
entity |
| Predicate | estimatedRecoverableReserves |
P48484
|
FINISHED |
| Object | over 700 million barrels of oil |
—
|
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 700 million barrels of oil | Statement: [Hebron (oil field), estimatedRecoverableReserves, over 700 million barrels of oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedRecoverableReserves Context triple: [Hebron (oil field), estimatedRecoverableReserves, over 700 million barrels of oil]
-
A.
recoverableReservesEstimate
chosen
Indicates an estimated quantity of reserves that can be economically and technically recovered under current conditions.
-
B.
estimatedUsing
Indicates that one entity’s value, state, or outcome is derived by applying an estimation method, model, or procedure based on another entity.
-
C.
hasEstimatedNumberOfBunkers
Indicates that an entity is associated with an approximate or estimated count of bunkers.
-
D.
hasEstimatedOriginalVolume
Indicates that an entity is associated with an approximate or calculated value for its original volume.
-
E.
reserves
Indicates that an entity has arranged in advance to hold or secure something for future use or access.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34aa3388190ac300cf934042d78 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:13 p.m.