Triple

T16643337
Position Surface form Disambiguated ID Type / Status
Subject Moreland Hills, Ohio E404399 entity
Predicate adjacentTo P224 FINISHED
Object Bentleyville, Ohio E1196497 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: Bentleyville, Ohio | Statement: [Moreland Hills, Ohio, adjacentTo, Bentleyville, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bentleyville, Ohio
Context triple: [Moreland Hills, Ohio, adjacentTo, Bentleyville, Ohio]
  • A. Bentleyville, Ohio chosen
    Bentleyville, Ohio is a small, affluent suburban village in Cuyahoga County known for its residential character and proximity to the Chagrin River valley.
  • B. Boughtonville, Ohio
    Boughtonville, Ohio is a small unincorporated community located in Huron County in the north-central region of the state.
  • C. Bellville, Ohio
    Bellville, Ohio is a small village in north-central Ohio known for its historic downtown and rural community character.
  • D. Bettsville, Ohio
    Bettsville, Ohio is a small village located in Seneca County in the northwestern part of the state.
  • E. Bellefontaine, Ohio
    Bellefontaine, Ohio is a small city in Logan County known historically as a regional railroad hub and for having one of the first concrete-paved streets in the United States.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad3b12c8190a32e33d9ecff9dae completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bd1b648190b6189533dcd7b9ac completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.