Triple

T9993507
Position Surface form Disambiguated ID Type / Status
Subject York Regional Police E196944 entity
Predicate serves P98 FINISHED
Object Township of King E200159 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: Township of King | Statement: [York Regional Police, serves, Township of King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Township of King
Context triple: [York Regional Police, serves, Township of King]
  • A. Township of King chosen
    Township of King is a largely rural municipality in south-central Ontario, Canada, known for its rolling countryside, equestrian farms, and small historic communities.
  • B. Kingston Township
    Kingston Township is a municipal township located in northeastern Pennsylvania, United States.
  • C. Kingsessing Township
    Kingsessing Township was a former township in what is now West Philadelphia, Pennsylvania, known for its early colonial settlement and later incorporation into the city of Philadelphia.
  • D. York Township
    York Township is a civil township in DuPage County, Illinois, encompassing several suburban communities west of Chicago.
  • E. York Township
    York Township is a civil township located in Sandusky County in the U.S. state of Ohio.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb982d5c81909779c6e9d780b399 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2582ac03481908e76c10218f419d5 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:50 p.m.