Triple

T6864535
Position Surface form Disambiguated ID Type / Status
Subject Sen no Rikyū E158364 entity
Predicate movement P81 FINISHED
Object wabi-cha E286060 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: wabi-cha | Statement: [Sen no Rikyū, movement, wabi-cha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: wabi-cha
Context triple: [Sen no Rikyū, movement, wabi-cha]
  • A. wabi-sabi chosen
    Wabi-sabi is a Japanese aesthetic philosophy that finds beauty in imperfection, impermanence, and simplicity.
  • B. ikebana
    Ikebana is the traditional Japanese art of flower arrangement that emphasizes harmony, balance, and minimalism in the composition of natural materials.
  • C. Tamba ware
    Tamba ware is a traditional Japanese pottery style from the Tamba region, known for its rustic aesthetics, natural ash glazes, and long history as one of Japan’s oldest ceramic traditions.
  • D. Tsubakuro
    Tsubakuro is the popular swallow-themed mascot character of the Tokyo Yakult Swallows professional baseball team in Japan.
  • E. Wanko Soba
    Wanko Soba is a style of Japanese soba dining where diners rapidly eat many small bowls of noodles, often as a competitive or celebratory challenge.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d88af6d88190ac9faa32fa1bfa0e completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72ff153d48190a4b0d4e403457fe8 completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:21 p.m.