Triple

T15947215
Position Surface form Disambiguated ID Type / Status
Subject Aoba-ku E386714 entity
Predicate contains P35 FINISHED
Object Sendai City Hall E910733 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: Sendai City Hall | Statement: [Aoba-ku, contains, Sendai City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sendai City Hall
Context triple: [Aoba-ku, contains, Sendai City Hall]
  • A. Sendai City Hall chosen
    Sendai City Hall is the main municipal government building and administrative center for the city of Sendai in Miyagi Prefecture, Japan.
  • B. Nagoya City Hall
    Nagoya City Hall is the central municipal government building and administrative headquarters of the city of Nagoya, Japan.
  • C. Yokohama City Hall
    Yokohama City Hall is the main administrative and governmental building serving the city of Yokohama in Kanagawa Prefecture, Japan.
  • D. Sapporo City Hall
    Sapporo City Hall is the main municipal government building and administrative center of the city of Sapporo in Hokkaido, Japan.
  • E. Sendai City War Reconstruction Memorial Hall
    Sendai City War Reconstruction Memorial Hall is a museum and memorial facility in Sendai dedicated to documenting the city’s wartime destruction and postwar reconstruction.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c0c8a481908aa7a40bca15e38e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.