Triple

T22957180
Position Surface form Disambiguated ID Type / Status
Subject City Hall E570790 entity
Predicate title P38 FINISHED
Object City Hall NE NERFINISHED

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 Hall | Statement: [City Hall, title, City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City Hall
Context triple: [City Hall, title, City Hall]
  • A. City Hall
    City Hall is the historic and architecturally grand municipal government building of Philadelphia, renowned for its elaborate Second Empire style and the statue of William Penn atop its tower.
  • B. City Hall
    City Hall is a 1996 American political drama film set in New York City, starring Al Pacino and John Cusack, that explores corruption and moral ambiguity in urban government.
  • C. City Hall chosen
    City Hall is the central municipal government building of a city, typically housing the mayor’s office, council chambers, and key administrative departments.
  • D. City Hall
    City Hall is a historic municipal government building in Charters Towers, Queensland, recognized for its heritage significance and architectural value.
  • E. City Hall
    City Hall is the distinctive glass building on the south bank of the River Thames that served as the headquarters of the Greater London Authority and the office of the Mayor of London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f21e588190a5a88a15c1b55dea completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.