Triple
T10745900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacq gas field |
E253447
|
entity |
| Predicate | estimatedOriginalGasInPlace |
P10552
|
FINISHED |
| Object | approximately 250 billion cubic metres |
—
|
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: approximately 250 billion cubic metres | Statement: [Lacq gas field, estimatedOriginalGasInPlace, approximately 250 billion cubic metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedOriginalGasInPlace Context triple: [Lacq gas field, estimatedOriginalGasInPlace, approximately 250 billion cubic metres]
-
A.
isGasRich
Indicates that an entity possesses a relatively high abundance or concentration of gas compared to a defined reference or threshold.
-
B.
hasEstimatedOriginalVolume
chosen
Indicates that an entity is associated with an approximate or calculated value for its original volume.
-
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.
recoverableReservesEstimate
Indicates an estimated quantity of reserves that can be economically and technically recovered under current conditions.
-
E.
hasEstimatedNumberOfBunkers
Indicates that an entity is associated with an approximate or estimated count of bunkers.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b77c4881909d16c6e82a9b86ca |
completed | April 9, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.