Triple

T21996666
Position Surface form Disambiguated ID Type / Status
Subject Oka-dera E543222 entity
Predicate locatedIn P40 FINISHED
Object Asuka NE NERFINISHED

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: Asuka | Statement: [Oka-dera, locatedIn, Asuka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asuka
Context triple: [Oka-dera, locatedIn, Asuka]
  • A. Asuka chosen
    Asuka is a historic village in Japan renowned as the cradle of the Asuka period, where early Japanese statehood, Buddhism, and distinctive art and architecture first flourished.
  • B. Asuka
    Asuka is a Japanese professional wrestler and former NXT and WWE Women’s Champion known for her striking-based offense, colorful persona, and dominant undefeated streak in WWE.
  • C. Asaka
    Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
  • D. Shōshi
    Shōshi is the romanized name of Empress Shōshi, a Japanese imperial consort of the Heian period and a prominent cultural patron.
  • E. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12765fb0c81908f7b7acda065ee2f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.