Triple
T22686129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wewak region |
E560917
|
entity |
| Predicate | wasTargetedTo |
P69992
|
FINISHED |
| Object | neutralize Japanese air power in New Guinea |
—
|
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: neutralize Japanese air power in New Guinea | Statement: [Wewak region, wasTargetedTo, neutralize Japanese air power in New Guinea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasTargetedTo Context triple: [Wewak region, wasTargetedTo, neutralize Japanese air power in New Guinea]
-
A.
wasTargetDuring
Indicates that an entity served as the target of another entity or action during a specified time period or event.
-
B.
targetedBecauseOf
Indicates that one entity is made a target of an action, harm, or scrutiny specifically due to possessing a particular attribute, identity, or characteristic.
-
C.
usesTarget
Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
-
D.
aimedAtBy
chosen
Indicates that one entity serves as the target or goal toward which another entity directs an action, intention, or focus.
-
E.
oftenTargetedBy
Indicates that an entity is frequently chosen or subjected as the object of another entity’s actions, attention, or attacks.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178637bc08190a8dfb33b5f4249e5 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:12 p.m.