Triple

T18909701
Position Surface form Disambiguated ID Type / Status
Subject National Museum of the Union E462564 entity
Predicate hasPart P35 FINISHED
Object Union 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: Union Hall | Statement: [National Museum of the Union, hasPart, Union Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union Hall
Context triple: [National Museum of the Union, hasPart, Union Hall]
  • A. Union Hall chosen
    Union Hall is a historic building in Alba Iulia, Romania, renowned as the site where the union of Transylvania with Romania was proclaimed in 1918.
  • B. Union Hall
    Union Hall is a small coastal fishing village and harbour in West Cork, Ireland, known for its scenic waterfront and maritime heritage.
  • C. York Hall
    York Hall is a major academic building at UC San Diego’s Revelle College, primarily housing classrooms, lecture halls, and science facilities.
  • D. Metro Hall
    Metro Hall is a major municipal office complex in downtown Toronto that houses various city government departments and services.
  • E. Argo Hall
    Argo Hall is a student residence hall at Revelle College, part of the University of California, San Diego.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c62182f48190ad81b6ef0c7bc7da completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.