Triple

T22570611
Position Surface form Disambiguated ID Type / Status
Subject Sanxian E558064 entity
Predicate relatedTo P37 FINISHED
Object shamisen 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: shamisen | Statement: [Sanxian, relatedTo, shamisen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: shamisen
Context triple: [Sanxian, relatedTo, shamisen]
  • A. shakuhachi
    The shakuhachi is a traditional Japanese end-blown bamboo flute known for its breathy, meditative tone and use in both classical and contemporary music.
  • B. Koto
    Koto is a special ward in eastern Tokyo, Japan, known for its waterfront areas, modern residential developments, and a mix of industrial and commercial zones.
  • C. Shitara
    Shitara is a rural town in central Japan known for its mountainous landscapes and traditional countryside character within Aichi Prefecture.
  • D. shimenawa
    Shimenawa are sacred Shinto ropes made of rice straw or hemp, used to mark purified or holy spaces and objects in Japan.
  • E. Sanshin chosen
    Sanshin is a traditional three-stringed lute from the Ryukyu Islands, considered a central instrument in Okinawan music and culture.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fad35448190b51a3dd639ca8568 completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.