Triple
T1218242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Detachment |
E26156
|
entity |
| Predicate | isPartOfCampaign |
P2543
|
FINISHED |
| Object | U.S. island-hopping campaign |
—
|
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: U.S. island-hopping campaign | Statement: [Operation Detachment, isPartOfCampaign, U.S. island-hopping campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfCampaign Context triple: [Operation Detachment, isPartOfCampaign, U.S. island-hopping campaign]
-
A.
partOfCampaign
chosen
Indicates that an entity participates in, belongs to, or is included within a specific campaign.
-
B.
testCampaign
Indicates that an entity is involved in or associated with a campaign conducted for testing, experimentation, or evaluation purposes.
-
C.
effectOnCampaign
Indicates the influence or impact that one factor has on the outcome or performance of a campaign.
-
D.
campaign
Indicates that an entity actively organizes or conducts a coordinated effort or series of actions aimed at achieving a specific goal, often in political, commercial, or social contexts.
-
E.
campaignOrService
Indicates that one entity is a campaign and the other is a service that the campaign promotes, uses, or is associated with.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be08157c8190b248bb75b922644f |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.