Triple
T30539429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بقيق |
E777232
|
entity |
| Predicate | operatorOfOilFacilities |
P196276
|
FINISHED |
| Object | أرامكو السعودية |
—
|
NE NERFINISHED |
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: أرامكو السعودية | Statement: [بقيق, operatorOfOilFacilities, أرامكو السعودية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorOfOilFacilities Context triple: [بقيق, operatorOfOilFacilities, أرامكو السعودية]
-
A.
refineryOperator
Indicates that one entity operates, manages, or runs a refinery facility for another entity or in a given context.
-
B.
navalFacilityOperator
Indicates that one entity is responsible for operating, managing, or running a naval facility associated with another entity.
-
C.
oilSystem
Indicates a relationship where an entity functions as, is part of, or is associated with an oil-based system used for lubrication, operation, or processing.
-
D.
areOilProducingPeople
Indicates that the people in question are involved in or associated with the production of oil.
-
E.
operatedFacilitiesIn
chosen
Indicates that an entity has managed or run facilities located within a specified place or jurisdiction.
- 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_69f2249d183c8190b79937c1768d2163 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff65987ff88190b09be64f7c0e1da9 |
completed | May 9, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69ff6525b0548190bef7a9f009e00bb8 |
completed | May 9, 2026, 4:47 p.m. |
Created at: April 29, 2026, 8:19 p.m.