Triple
T18621422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baku oil fields |
E455157
|
entity |
| Predicate | alsoProduce |
P490
|
FINISHED |
| Object | associated natural gas |
—
|
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: associated natural gas | Statement: [Baku oil fields, alsoProduce, associated natural gas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoProduce Context triple: [Baku oil fields, alsoProduce, associated natural gas]
-
A.
produces
chosen
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
B.
helpsProduce
Indicates that one entity contributes to or facilitates the creation, generation, or production of another entity.
-
C.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
D.
producedAs
Indicates that one entity is created, generated, or brought into existence as a result or output of another entity or process.
-
E.
includesProduce
Indicates that one entity contains or offers certain produce items as part of its contents, inventory, or offerings.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f0146f48190a872032db6e660c6 |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.