Triple

T12840462
Position Surface form Disambiguated ID Type / Status
Subject New York City Center E307034 entity
Predicate alsoKnownAs P39 FINISHED
Object City Center E307034 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: City Center | Statement: [New York City Center, alsoKnownAs, City Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City Center
Context triple: [New York City Center, alsoKnownAs, City Center]
  • A. City Center chosen
    City Center is a historic performing arts venue in Midtown Manhattan, best known for its dance, theater, and music programming.
  • B. CityCenter
    CityCenter is a large mixed-use urban complex on the Las Vegas Strip featuring hotels, casinos, residences, and retail and entertainment venues.
  • C. Central City
    Central City is the primary fictional metropolis in the DC Comics universe known as the home of the superhero The Flash.
  • D. Central City
    Central City is a small town in Linn County, Iowa, known for its rural Midwestern character and community-oriented lifestyle.
  • E. Central City
    Central City is the fictional Midwestern town that serves as the primary backdrop for the classic American sitcom "The Many Loves of Dobie Gillis."
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edeaa1881909e06600ef88727de completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:35 p.m.