Triple
T18621413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baku oil fields |
E455157
|
entity |
| Predicate | earlierOilUse |
P2417
|
FINISHED |
| Object | surface seep exploitation since antiquity |
—
|
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: surface seep exploitation since antiquity | Statement: [Baku oil fields, earlierOilUse, surface seep exploitation since antiquity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlierOilUse Context triple: [Baku oil fields, earlierOilUse, surface seep exploitation since antiquity]
-
A.
coalUse
Indicates the use or consumption of coal by an entity, typically as a fuel or energy source.
-
B.
oilUsage
Indicates the amount or pattern of oil consumed or utilized by an entity over a given context or period.
-
C.
areOilProducingPeople
Indicates that the people in question are involved in or associated with the production of oil.
-
D.
historicallyUsedFor
chosen
Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
-
E.
percentageOfGlobalOilConsumption
Indicates the proportion of total worldwide oil consumption that is attributable to a specific entity or group.
- 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.