Triple

T9821041
Position Surface form Disambiguated ID Type / Status
Subject Maple Heights E238530 entity
Predicate adjacentTo P224 FINISHED
Object Warrensville Heights E813454 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: Warrensville Heights | Statement: [Maple Heights, adjacentTo, Warrensville Heights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warrensville Heights
Context triple: [Maple Heights, adjacentTo, Warrensville Heights]
  • A. Warrensville Heights chosen
    Warrensville Heights is a suburban city in Cuyahoga County, Ohio, known as part of the greater Cleveland metropolitan area.
  • B. Bedford Heights
    Bedford Heights is a suburban city in northeastern Ohio, located southeast of Cleveland within the Greater Cleveland metropolitan area.
  • C. Garfield Heights
    Garfield Heights is a suburban city located southeast of downtown Cleveland in northeastern Ohio.
  • D. North Hills
    North Hills is an affluent incorporated village in Nassau County on Long Island, New York, known for its residential communities and proximity to New York City.
  • E. North Hills
    North Hills is a residential community located within Abington Township in Montgomery County, Pennsylvania.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3147ecc81908cfca84c05a367d9 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eacbc2348190bac1cc7f41a389b9 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:31 p.m.