Triple

T16695847
Position Surface form Disambiguated ID Type / Status
Subject Fujiwara no Kaneie E405712 entity
Predicate courtTitle P23246 FINISHED
Object Udaijin E442496 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: Udaijin | Statement: [Fujiwara no Kaneie, courtTitle, Udaijin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udaijin
Context triple: [Fujiwara no Kaneie, courtTitle, Udaijin]
  • A. Udaijin chosen
    Udaijin was a high-ranking ministerial post in Japan’s historical imperial court, typically serving as one of the chief advisors and administrators directly beneath the top chancellor.
  • B. Nishiizu
    Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
  • C. Narusawa
    Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
  • D. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • E. Iwakuni
    Iwakuni is a historic city in western Japan known for its iconic wooden Kintai Bridge and its location along the Nishiki River.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eadc35881909fb0cc405a0e2fae completed April 18, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a51378788190b9f3bb0a344dcdd8 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:19 a.m.