Triple

T16932229
Position Surface form Disambiguated ID Type / Status
Subject Tupolski E410737 entity
Predicate affiliation P10 FINISHED
Object state police E232413 NE 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: state police | Statement: [Tupolski, affiliation, state police]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: state police
Context triple: [Tupolski, affiliation, state police]
  • A. state police chosen
    State police are statewide law enforcement agencies responsible for highway patrol, criminal investigations, and supporting local police across a state’s jurisdiction.
  • B. national police
    The national police of Niger is the country’s primary civilian law enforcement body responsible for maintaining public order, enforcing laws, and ensuring internal security.
  • C. National Police
    The National Police were the central law enforcement and internal security force of South Vietnam, operating under the Republic of Vietnam government until 1975.
  • D. state public safety department
    A state public safety department is a government agency responsible for overseeing law enforcement and related public safety functions, including the operations of the state police.
  • E. State Police Academy
    The State Police Academy is the primary training institution where recruits and officers of the Massachusetts State Police receive law enforcement education and preparation for duty.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2650e08190b669d0cf2cf1275b completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe0ff608190903d0e64e04b1550 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.