Triple

T10682201
Position Surface form Disambiguated ID Type / Status
Subject Dallas City Hall Plaza E251784 entity
Predicate fronts P1699 FINISHED
Object Dallas City Hall E50082 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: Dallas City Hall | Statement: [Dallas City Hall Plaza, fronts, Dallas City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallas City Hall
Context triple: [Dallas City Hall Plaza, fronts, Dallas City Hall]
  • A. Dallas City Hall chosen
    Dallas City Hall is the modernist seat of government for the city of Dallas, Texas, designed by architect I. M. Pei and located in the downtown area.
  • B. Austin City Hall
    Austin City Hall is the modern municipal government building and civic center for the city of Austin, Texas.
  • C. Houston City Hall
    Houston City Hall is the primary municipal government building of Houston, Texas, housing the mayor’s office and key city administrative functions.
  • D. Dallas Municipal Building
    The Dallas Municipal Building is a historic early 20th-century government building in downtown Dallas, Texas, known for its Beaux-Arts architecture and former role as the city’s primary city hall.
  • E. Tulsa City Hall
    Tulsa City Hall is the primary municipal government building and administrative center for the city of Tulsa, Oklahoma.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc30be481909922844b539b622d completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98885abf88190b54ed9db779d3ff0 completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:10 p.m.