Triple

T12445070
Position Surface form Disambiguated ID Type / Status
Subject Nichiren E297376 entity
Predicate activityLocation P7274 FINISHED
Object Kamakura E319571 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: Kamakura | Statement: [Nichiren, activityLocation, Kamakura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamakura
Context triple: [Nichiren, activityLocation, Kamakura]
  • A. Kamakura chosen
    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.
  • B. Minamoto-shi
    Minamoto-shi is the romanized Japanese term for the Minamoto clan, a powerful and historically significant samurai family that played a central role in early Japanese politics and warfare.
  • C. Ashikaga
    Ashikaga was a powerful samurai clan that ruled Japan as shoguns during the Muromachi period (1336–1573).
  • D. Odawara
    Odawara is a coastal city in Kanagawa Prefecture, Japan, known for its historic Odawara Castle and role as a strategic post town along historic and modern transportation routes.
  • E. Akishima
    Akishima is a city in western Tokyo, Japan, known as part of the Tama area and characterized by its residential neighborhoods and light industry.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c66449081909484b945b6b97643 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:55 p.m.