Triple

T4624383
Position Surface form Disambiguated ID Type / Status
Subject Philadelphia skyline E101059 entity
Predicate hasPart P35 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 skyline, hasPart, City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City Hall
Context triple: [Philadelphia skyline, hasPart, 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. Jackson City Hall
    Jackson City Hall is the primary municipal government building in Jackson, serving as the central location for city administration and public meetings.
  • D. New City Hall
    New City Hall is a prominent modernist municipal building and one of the most recognizable landmarks in the Czech city of Ostrava.
  • E. Portland City Hall
    Portland City Hall is the historic municipal government building and architectural landmark serving the city of Portland, Maine.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a06d6248190a613be9784dd1ef4 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaa564988190b565c26b9cd3d3be completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:13 p.m.