Triple

T22694998
Position Surface form Disambiguated ID Type / Status
Subject City of Columbus government E561151 entity
Predicate hasSeat P3522 FINISHED
Object Columbus 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: Columbus City Hall | Statement: [City of Columbus government, hasSeat, Columbus City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbus City Hall
Context triple: [City of Columbus government, hasSeat, Columbus City Hall]
  • A. Columbus City Hall chosen
    Columbus City Hall is the central municipal government building of Columbus, Indiana, known for serving as the administrative hub of the city.
  • B. Cincinnati City Hall
    Cincinnati City Hall is the historic municipal building in downtown Cincinnati that houses the city’s primary government offices and chambers.
  • C. Dayton City Hall
    Dayton City Hall is the primary municipal government building serving the administrative and civic needs of Dayton, Texas.
  • D. Cleveland City Hall
    Cleveland City Hall is the central municipal government building and administrative headquarters for the city of Cleveland, Texas.
  • E. Cleveland City Hall
    Cleveland City Hall is the seat of government for the city of Cleveland, Ohio, housing the mayor's office and city council chambers in a historic building downtown.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789d46c881908176bc8e26f366f6 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:14 p.m.