Triple

T7709998
Position Surface form Disambiguated ID Type / Status
Subject Tokugawa Hidetada E174722 entity
Predicate deathPlace P21 FINISHED
Object Edo, Japan E69445 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: Edo, Japan | Statement: [Tokugawa Hidetada, deathPlace, Edo, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edo, Japan
Context triple: [Tokugawa Hidetada, deathPlace, Edo, Japan]
  • A. Edo chosen
    Edo was the historical name of Japan’s capital during the Tokugawa shogunate, a major political and cultural center that later became modern Tokyo.
  • B. Edo
    Edo is a historic city in present-day southern Nigeria, renowned as the political and cultural center of the former Benin Kingdom and its sophisticated art and urban civilization.
  • C. Kamakura
    Kamakura is a historic coastal city in Japan renowned for its Great Buddha statue, numerous temples and shrines, and role as the political center of the Kamakura shogunate.
  • D. Mitaka, Tokyo
    Mitaka, Tokyo is a suburban city in western Tokyo known for its residential neighborhoods, cultural attractions like the Ghibli Museum, and expansive green spaces.
  • E. Ota, Japan
    Ōta is a special ward in Tokyo, Japan, known for Haneda Airport, its coastal location on Tokyo Bay, and a mix of residential, industrial, and commercial districts.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ad6b788190892b96ab523d111f completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b505c7f88190ac058c1a27d758ca completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:04 p.m.