Triple

T9191323
Position Surface form Disambiguated ID Type / Status
Subject 黒川紀章 E220593 entity
Predicate 代表作 P4 FINISHED
Object さいたま新都心合同庁舎第2号館 E783956 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: さいたま新都心合同庁舎第2号館 | Statement: [黒川紀章, 代表作, さいたま新都心合同庁舎第2号館]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: さいたま新都心合同庁舎第2号館
Context triple: [黒川紀章, 代表作, さいたま新都心合同庁舎第2号館]
  • A. さいたま新都心合同庁舎第1号館 chosen
    さいたま新都心合同庁舎第1号館は、建築家・黒川紀章が手がけた埼玉県さいたま市の大規模な官公庁複合ビルであり、その近未来的なデザインで知られる建築作品である。
  • B. Hachiōji City Hall
    Hachiōji City Hall is the main municipal government building and administrative center serving the city of Hachiōji in Tokyo, Japan.
  • C. Narita City Hall
    Narita City Hall is the main municipal government building and administrative center serving the city of Narita in Chiba Prefecture, Japan.
  • D. Shinagawa City Hall
    Shinagawa City Hall is the main administrative government building serving Tokyo’s Shinagawa ward, housing its municipal offices and public services.
  • E. Shinjuku Mitsui Building
    Shinjuku Mitsui Building is a prominent high-rise office skyscraper in Tokyo’s Shinjuku business district, known for its distinctive modernist design and role as a major commercial hub.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bf25c081909e651b67ef8ecc33 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d5e81c8190b6687999a87fd559 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:24 p.m.