Triple

T9182857
Position Surface form Disambiguated ID Type / Status
Subject Saga Prefecture E220376 entity
Predicate contains P35 FINISHED
Object Takeo E661361 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: Takeo | Statement: [Saga Prefecture, contains, Takeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeo
Context triple: [Saga Prefecture, contains, Takeo]
  • A. Takeo chosen
    Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
  • B. Noboru
    Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
  • C. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • D. Yasuhiko
    Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
  • E. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc2553e548190898434aeda517407 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6523db338819088e2fadf346ad845 completed April 8, 2026, 1:03 p.m.
Created at: March 30, 2026, 7:23 p.m.