Triple

T12535131
Position Surface form Disambiguated ID Type / Status
Subject Yamato area E299667 entity
Predicate contains P35 FINISHED
Object Asuka E146234 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: Asuka | Statement: [Yamato area, contains, Asuka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asuka
Context triple: [Yamato area, contains, 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. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • E. Narihira
    Narihira is a neighborhood in Sumida, Tokyo, known for its residential character and proximity to major landmarks like Tokyo Skytree.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65577e3388190b6c1c2e8dee7f6ac completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.