Triple

T21801727
Position Surface form Disambiguated ID Type / Status
Subject National Police Academy (Japan) E538253 entity
Predicate shortName P43 FINISHED
Object NPA 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: NPA | Statement: [National Police Academy (Japan), shortName, NPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NPA
Context triple: [National Police Academy (Japan), shortName, NPA]
  • A. NPA chosen
    NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
  • B. NPA
    NPA is the FAA location identifier for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
  • C. NPA
    NPA is the acronym commonly used for the Nigerian Ports Authority, the government agency responsible for managing and regulating Nigeria’s seaports.
  • D. NPAZ
    NPAZ is the acronym for Zimbabwe’s National Prosecuting Authority, the state body responsible for directing public prosecutions and upholding criminal justice in the country.
  • E. NAP
    NAP is a U.S. Department of Agriculture program that provides financial assistance to producers of noninsurable crops when low yields, loss of inventory, or prevented planting occur due to natural disasters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f077ff986081909c984cd190167640 completed April 28, 2026, 9:03 a.m.
Created at: April 16, 2026, 6:53 p.m.