Triple

T10760374
Position Surface form Disambiguated ID Type / Status
Subject Saitama (city) E253810 entity
Predicate leaderName P307 FINISHED
Object Hayato Shimizu
Hayato Shimizu is a Japanese politician who serves as the mayor of Saitama City.
E1154407 NE FINISHED

How this triple was built (4 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: Hayato Shimizu | Statement: [Saitama (city), leaderName, Hayato Shimizu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayato Shimizu
Context triple: [Saitama (city), leaderName, Hayato Shimizu]
  • A. Hayato Ikeda
    Hayato Ikeda was a Japanese prime minister known for his “income-doubling plan” and for overseeing rapid economic growth and modernization in postwar Japan.
  • B. Kazuki Yoshimura
    Kazuki Yoshimura is a Japanese individual notable enough to be recognized as a namesake of the surname Yoshimura.
  • C. Kazuki Yamada
    Kazuki Yamada is a Japanese conductor renowned for his dynamic interpretations of orchestral and choral repertoire and leadership of major European ensembles.
  • D. Mikiya Takimoto
    Mikiya Takimoto is a Japanese photographer known for his refined, minimalist imagery and collaborations on major design and architectural projects.
  • E. Satoshi Kashima
    Satoshi Kashima is a Japanese civil engineer best known for leading the design of the Akashi Kaikyo Bridge, one of the world's longest suspension bridges.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hayato Shimizu
Triple: [Saitama (city), leaderName, Hayato Shimizu]
Generated description
Hayato Shimizu is a Japanese politician who serves as the mayor of Saitama City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hayato Shimizu
Target entity description: Hayato Shimizu is a Japanese politician who serves as the mayor of Saitama City.
  • A. Hayato Ikeda
    Hayato Ikeda was a Japanese prime minister known for his “income-doubling plan” and for overseeing rapid economic growth and modernization in postwar Japan.
  • B. Kazuki Yoshimura
    Kazuki Yoshimura is a Japanese individual notable enough to be recognized as a namesake of the surname Yoshimura.
  • C. Kazuki Yamada
    Kazuki Yamada is a Japanese conductor renowned for his dynamic interpretations of orchestral and choral repertoire and leadership of major European ensembles.
  • D. Mikiya Takimoto
    Mikiya Takimoto is a Japanese photographer known for his refined, minimalist imagery and collaborations on major design and architectural projects.
  • E. Satoshi Kashima
    Satoshi Kashima is a Japanese civil engineer best known for leading the design of the Akashi Kaikyo Bridge, one of the world's longest suspension bridges.
  • F. None of above. chosen

Provenance (5 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a14c7481909c6f4f9b15dc130f completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1330527481908d518093debc9ad1 completed May 9, 2026, 10:57 a.m.
NEDg Description generation batch_69ff142e99e081909d01cac0416f1bde completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff14c61eb08190ba854b541eb1ce14 completed May 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:16 p.m.