Triple

T13950359
Position Surface form Disambiguated ID Type / Status
Subject School of Education at Capital University E335504 entity
Predicate locatedIn P40 FINISHED
Object Bexley, Ohio E312778 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: Bexley, Ohio | Statement: [School of Education at Capital University, locatedIn, Bexley, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bexley, Ohio
Context triple: [School of Education at Capital University, locatedIn, Bexley, Ohio]
  • A. Bexley, Ohio chosen
    Bexley, Ohio is a small, affluent suburban city near downtown Columbus known for its historic homes, tree-lined streets, and institutions like Capital University.
  • B. Bellevue, Ohio
    Bellevue, Ohio is a small city in north-central Ohio known for its railroad heritage and location spanning multiple counties.
  • C. Bedford, Ohio
    Bedford, Ohio is a small suburban city in Cuyahoga County that forms part of the Greater Cleveland metropolitan area.
  • D. Bryan, Ohio
    Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
  • E. Brooklyn, Ohio
    Brooklyn, Ohio is a small suburban city located just west of Cleveland in Cuyahoga County.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e131c608190b4ffdbada24a3208 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1cca84881909c7733bbc2609eea completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.