Triple
T2960377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balkanabat |
E80031
|
entity |
| Predicate | energySectorRole |
P8439
|
FINISHED |
| Object | support center for nearby oil and gas fields |
—
|
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: support center for nearby oil and gas fields | Statement: [Balkanabat, energySectorRole, support center for nearby oil and gas fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energySectorRole Context triple: [Balkanabat, energySectorRole, support center for nearby oil and gas fields]
-
A.
roleInIndustry
chosen
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
B.
powerplantRole
Indicates that one entity serves in a specific functional or operational role relative to a power plant.
-
C.
carbonRole
Indicates the functional role or involvement that an entity has in relation to carbon within a given process, system, or context.
-
D.
technologyRole
Indicates the functional role or purpose that a technology plays within a system, process, or context.
-
E.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992dd4248190b5f3d4f342593b8c |
completed | March 8, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.