Triple

T6480157
Position Surface form Disambiguated ID Type / Status
Subject Queen station E146170 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Old City Hall E268904 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: Old City Hall | Statement: [Queen station, hasNearbyLandmark, Old City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old City Hall
Context triple: [Queen station, hasNearbyLandmark, Old City Hall]
  • A. Old City Hall
    Old City Hall is a historic courthouse and former city government building in Philadelphia that stands adjacent to Independence Hall within Independence National Historical Park.
  • B. Old City Hall chosen
    Old City Hall is a historic Romanesque Revival civic building in downtown Toronto that once served as the city's main municipal government headquarters and now functions primarily as a courthouse and landmark.
  • C. 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.
  • D. New Town Hall
    New Town Hall is a modern administrative building in Regensburg that serves as part of the city’s central municipal government complex.
  • E. New Town Hall
    New Town Hall is a grand historic city hall and landmark in Hanover, Germany, known for its distinctive domed architecture and panoramic viewing platform.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a4fe90c81908a7ce61e71f48a16 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fd4fd408190ac7505e5b562cd73 completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:51 p.m.