Triple

T6854628
Position Surface form Disambiguated ID Type / Status
Subject Ryukyuan music E158106 entity
Predicate hasInstrument P35 FINISHED
Object sanshin E133177 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: sanshin | Statement: [Ryukyuan music, hasInstrument, sanshin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: sanshin
Context triple: [Ryukyuan music, hasInstrument, sanshin]
  • A. Sanshin chosen
    Sanshin is a traditional three-stringed lute from the Ryukyu Islands, considered a central instrument in Okinawan music and culture.
  • B. sankin-kōtai
    Sankin-kōtai was a system in feudal Japan that required regional lords (daimyō) to alternate residence between their domains and the shogun’s capital, reinforcing central control and political stability.
  • C. Shinaki
    Shinaki is an alternative name for the Shina people, an ethnic group primarily inhabiting the mountainous regions of northern Pakistan and parts of India.
  • D. Shinsen
    Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
  • E. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d86d5a54819088537ada9f8d1105 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fdda9cc8190b039f892d046d7af completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:20 p.m.