Triple

T18535893
Position Surface form Disambiguated ID Type / Status
Subject Nakagyō-ku E452964 entity
Predicate contains P35 FINISHED
Object Kyoto City 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: Kyoto City Hall | Statement: [Nakagyō-ku, contains, Kyoto City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyoto City Hall
Context triple: [Nakagyō-ku, contains, Kyoto City Hall]
  • A. Kyoto City Hall chosen
    Kyoto City Hall is the main administrative and governmental headquarters of the city of Kyoto, Japan.
  • B. Himeji City Hall
    Himeji City Hall is the main municipal government building and administrative center serving the city of Himeji in Hyōgo Prefecture, Japan.
  • C. Osaka City Hall
    Osaka City Hall is the main administrative headquarters of Osaka City, located in the central Nakanoshima district and housing the city’s municipal government offices.
  • D. Nagoya City Hall
    Nagoya City Hall is the central municipal government building and administrative headquarters of the city of Nagoya, Japan.
  • E. Sendai City Hall
    Sendai City Hall is the main municipal government building and administrative center for the city of Sendai in Miyagi Prefecture, Japan.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5340193588190ace2c09c6a94cf81 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.