Triple

T6000979
Position Surface form Disambiguated ID Type / Status
Subject Flash the Golden Eagle E133593 entity
Predicate homeCity P263 FINISHED
Object Kent, Ohio E156899 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: Kent, Ohio | Statement: [Flash the Golden Eagle, homeCity, Kent, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent, Ohio
Context triple: [Flash the Golden Eagle, homeCity, Kent, Ohio]
  • A. Kent, Ohio chosen
    Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
  • B. Kettering, Ohio
    Kettering, Ohio is a suburban city near Dayton known for its residential communities, parks, and role as a commercial and cultural hub in the Miami Valley region.
  • C. Dayton, Kentucky
    Dayton, Kentucky is a small Ohio River city in northern Kentucky, located across from Cincinnati and known as part of the greater Cincinnati metropolitan area.
  • D. Oakland, Kentucky
    Oakland, Kentucky is a small town in Warren County that functions as part of the broader Bowling Green regional community in south-central Kentucky.
  • E. Bryan, Ohio
    Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04ee7c0e08190a6e78969448b070a completed March 22, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62cf2edd48190b3d5f6bf27075fed completed March 27, 2026, 7:08 a.m.
Created at: March 22, 2026, 4:05 p.m.