Triple

T5974064
Position Surface form Disambiguated ID Type / Status
Subject 新嘗祭 E132940 entity
Predicate alsoRomanizedAs P2508 FINISHED
Object Niinamesai E337166 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: Niinamesai | Statement: [新嘗祭, alsoRomanizedAs, Niinamesai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niinamesai
Context triple: [新嘗祭, alsoRomanizedAs, Niinamesai]
  • A. Niiname-sai chosen
    Niiname-sai is a traditional Shinto harvest festival in Japan during which the emperor offers newly harvested rice to the deities and partakes of it in a solemn thanksgiving rite.
  • B. Munefusa
    Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
  • C. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • D. Namu
    Namu is the main settlement and administrative center of Namu Atoll in the Marshall Islands.
  • E. Miyabi
    Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a01dd4081909097342afff31f9b completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e41459c88190a9e0ee0321946e57 completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:03 p.m.