Triple

T19347871
Position Surface form Disambiguated ID Type / Status
Subject Carlisle Township E483930 entity
Predicate subdivisionName P747 FINISHED
Object Carlisle Township 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: Carlisle Township | Statement: [Carlisle Township, subdivisionName, Carlisle Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlisle Township
Context triple: [Carlisle Township, subdivisionName, Carlisle Township]
  • A. Carlisle Township chosen
    Carlisle Township is a civil township located within Lorain County in the state of Ohio, United States.
  • B. Landis Township
    Landis Township was a former municipality in Cumberland County, New Jersey, that was eventually incorporated into the city of Vineland.
  • C. Collegeville Township
    Collegeville Township is a local governmental subdivision that encompasses and administers the community of Collegeville and its surrounding area.
  • D. Courtland Township
    Courtland Township is a civil township located in Kent County in the U.S. state of Michigan.
  • E. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185c95248190b1e5bb8626489767 completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:34 p.m.