Triple
T33140008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truk Islands |
E848117
|
entity |
| Predicate | wasAttackedIn |
P176137
|
FINISHED |
| Object | Operation Hailstone |
—
|
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: Operation Hailstone | Statement: [Truk Islands, wasAttackedIn, Operation Hailstone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasAttackedIn Context triple: [Truk Islands, wasAttackedIn, Operation Hailstone]
-
A.
attackedIn
Indicates that one entity carried out an attack in the location, context, or time frame specified by another entity or value.
-
B.
wasAttackedInYear
Indicates that an entity was the target of an attack that occurred in the specified year.
-
C.
attackedFrom
Indicates that one entity initiated an attack against another entity originating from a specific source location or position.
-
D.
forceAttacked
Indicates that one entity carried out an attack against another entity using force or coercive power.
-
E.
hasAttack
Indicates that one entity performs, possesses, or is associated with an attack directed toward another entity.
- F. None of above. chosen
Provenance (4 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: May 1, 2026, 1:28 a.m.