Triple

T9233077
Position Surface form Disambiguated ID Type / Status
Subject Philadelphia City Hall E221869 entity
Predicate name P16 FINISHED
Object City Hall E221869 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 Hall | Statement: [Philadelphia City Hall, name, City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: City Hall
Context triple: [Philadelphia City Hall, name, City Hall]
  • A. City Hall chosen
    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 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.
  • C. 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.
  • D. City Hall
    City Hall is the grand Beaux-Arts style civic building in San Francisco that houses the city's government offices and is known for its impressive dome and historic significance.
  • E. Town Hall
    Town Hall is a historic civic building in Berwick-upon-Tweed that has long served as a center for local government and community events.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1a7e9881908e0c11f242162017 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077bb5b10819083fd2de3ed7d69a4 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:29 p.m.