Triple

T11901212
Position Surface form Disambiguated ID Type / Status
Subject Utica City FC E283153 entity
Predicate shortName P43 FINISHED
Object Utica City E58964 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: Utica City | Statement: [Utica City FC, shortName, Utica City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utica City
Context triple: [Utica City FC, shortName, Utica City]
  • A. Utica
    Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
  • B. Útica
    Útica is a small Colombian town known for its warm climate and location in the Gualivá region of the Cundinamarca department.
  • C. Utica, New York chosen
    Utica, New York is a small city in central New York State known historically as an industrial and transportation hub and today for its cultural diversity and role in the Mohawk Valley region.
  • D. Oneonta
    Oneonta is a small city in central Alabama that serves as the county seat and primary population center of Blount County.
  • E. Augusta, New York
    Augusta, New York is a small rural town in Oneida County in central New York State, 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd16433881909befca9774bdaab4 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef311c4819094b6b08a62d3afb3 completed May 3, 2026, 7:53 a.m.
Created at: April 8, 2026, 9:44 p.m.