Triple
T9419461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khurais oil field |
E227113
|
entity |
| Predicate | postAttackStatus |
P17908
|
FINISHED |
| Object | production restored after repairs |
—
|
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: production restored after repairs | Statement: [Khurais oil field, postAttackStatus, production restored after repairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postAttackStatus Context triple: [Khurais oil field, postAttackStatus, production restored after repairs]
-
A.
postConflictStatus
chosen
Indicates the condition or circumstances of an entity after a conflict or dispute has concluded.
-
B.
attackOccurred
Indicates that an act of aggression or violence was carried out by one party against another.
-
C.
attackedIn
Indicates that one entity carried out an attack in the location, context, or time frame specified by another entity or value.
-
D.
stationAttacked
Indicates that an attack has been carried out against a station, targeting it with hostile or destructive actions.
-
E.
attackedFrom
Indicates that one entity initiated an attack against another entity originating from a specific source location or position.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c23c65081908d1009c26be66533 |
completed | April 1, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69cca550777c819094e1851a6127cbbc |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:48 p.m.