Triple

T6353605
Position Surface form Disambiguated ID Type / Status
Subject West Pomeranian Voivodeship E142935 entity
Predicate containsCity P294 FINISHED
Object Police E528258 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: Police | Statement: [West Pomeranian Voivodeship, containsCity, Police]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Police
Context triple: [West Pomeranian Voivodeship, containsCity, Police]
  • A. Police chosen
    Police is a town in northwestern Poland, located in the West Pomeranian Voivodeship near Szczecin.
  • B. Police
    The police are a civil force empowered by the state to maintain public order, enforce laws, and prevent, detect, and investigate crime.
  • C. Police Directorate
    The Police Directorate is the central administrative authority responsible for overseeing and coordinating the activities of the Norwegian Police Service.
  • D. Public Security Police
    The Public Security Police is Portugal’s national civil law enforcement agency responsible for maintaining public order, preventing crime, and ensuring citizen safety in urban areas.
  • E. 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.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067dec4a88190992d57a0cc7782ad completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60459a7c081909b551dcf1735bf75 completed March 27, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:31 p.m.