Triple
T5756904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Pacific |
E126989
|
entity |
| Predicate | wasMajorAreaOf |
P32975
|
FINISHED |
| Object | military operations |
—
|
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: military operations | Statement: [Central Pacific, wasMajorAreaOf, military operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMajorAreaOf Context triple: [Central Pacific, wasMajorAreaOf, military operations]
-
A.
isMajorEconomicAreaFor
Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
-
B.
hasMajorEconomicRegion
Indicates that an entity includes, is associated with, or is part of a primary or significant economic region within a larger economic or geographic context.
-
C.
isMajorRegionFor
chosen
Indicates that a region serves as a primary or significant area associated with a particular entity, activity, or phenomenon.
-
D.
isMajorCenterOf
Indicates that a place serves as a primary hub or focal point for a particular activity, function, or domain.
-
E.
includesMajorMetropolitanArea
Indicates that one entity geographically contains or encompasses a major metropolitan area within its boundaries.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029084e108190988f1b5f38254007 |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.