Triple

T7786195
Position Surface form Disambiguated ID Type / Status
Subject Xenia, Ohio E187249 entity
Predicate hasPostalDesignation P974 FINISHED
Object Xenia, OH E187249 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: Xenia, OH | Statement: [Xenia, Ohio, hasPostalDesignation, Xenia, OH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xenia, OH
Context triple: [Xenia, Ohio, hasPostalDesignation, Xenia, OH]
  • A. Xenia, Ohio chosen
    Xenia, Ohio is a small city in southwestern Ohio known for its historic downtown, proximity to Dayton, and extensive network of bike trails.
  • B. Evendale, Ohio
    Evendale, Ohio is a suburban village near Cincinnati best known as an industrial hub and major employment center, particularly for hosting GE Aerospace’s main operations.
  • C. Hilliard, Ohio
    Hilliard, Ohio is a suburban city in central Ohio known for its residential communities, schools, and proximity to Columbus.
  • D. Oxford, Ohio
    Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
  • E. Painesville, Ohio
    Painesville, Ohio is a small city in Lake County that serves as a suburban community within the Greater Cleveland metropolitan area.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf2462248190863f838f0e077923 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb139059a08190a8a4df25ee09756b completed March 31, 2026, 12:21 a.m.
Created at: March 30, 2026, 4:23 p.m.