Triple

T1558154
Position Surface form Disambiguated ID Type / Status
Subject Thanks-Giving Square E33255 entity
Predicate near P350 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: [Thanks-Giving Square, near, Dallas City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallas City Hall
Context triple: [Thanks-Giving Square, near, 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. Chicago City Hall
    Chicago City Hall is the central municipal government building of Chicago, housing key city offices and serving as the primary location for official civic administration and proceedings.
  • D. 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.
  • E. Portland City Hall
    Portland City Hall is the historic municipal building in downtown Portland, Oregon, that houses the offices and chambers of the city’s government.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4691cf5081909768f619b7a8a940 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.