Triple
T18404412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuwait Oil Company |
E450082
|
entity |
| Predicate | hasOilField |
P27831
|
FINISHED |
| Object | Sabriya oil field |
—
|
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: Sabriya oil field | Statement: [Kuwait Oil Company, hasOilField, Sabriya oil field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabriya oil field Context triple: [Kuwait Oil Company, hasOilField, Sabriya oil field]
-
A.
Rumaila oil field
Rumaila oil field is one of the world’s largest and most productive oil fields, located in southern Iraq near the Kuwaiti border.
-
B.
Raudhatain oil field
chosen
Raudhatain oil field is one of Kuwait’s major onshore oil fields, playing a key role in the country’s crude oil production.
-
C.
Zubair oil field
Zubair oil field is a major Iraqi oil field in southern Iraq, known for its large reserves and significant contribution to the country’s oil production.
-
D.
Majnoon oil field
Majnoon oil field is a giant oil field in southern Iraq known for its vast reserves and strategic importance to the country’s petroleum industry.
-
E.
Ahmadi oil field
The Ahmadi oil field is a major onshore petroleum field in Kuwait that plays a significant role in the country’s oil production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5195509cc8190bd4e91adb9b4a0ce |
completed | April 19, 2026, 6:05 p.m. |
Created at: April 10, 2026, 10:46 a.m.