Triple

T6947401
Position Surface form Disambiguated ID Type / Status
Subject Futenma Air Station E160830 entity
Predicate controversyDuration P28865 FINISHED
Object decades-long local opposition 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: decades-long local opposition | Statement: [Futenma Air Station, controversyDuration, decades-long local opposition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controversyDuration
Context triple: [Futenma Air Station, controversyDuration, decades-long local opposition]
  • A. controversy
    Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
  • B. controversyType
    Indicates the specific kind or category of controversy associated with an entity or situation.
  • C. controversialBecause
    Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
  • D. conflictPeriod chosen
    Indicates the time span during which a particular conflict or dispute is occurring or in effect between the related entities.
  • E. contestedBy
    Indicates that one party challenges, disputes, or opposes a claim, decision, or position held by another party.
  • 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:28 p.m.