Triple

T11801478
Position Surface form Disambiguated ID Type / Status
Subject Chengdu E280635 entity
Predicate isFamousFor P22 FINISHED
Object Sichuan opera E833344 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: Sichuan opera | Statement: [Chengdu, isFamousFor, Sichuan opera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sichuan opera
Context triple: [Chengdu, isFamousFor, Sichuan opera]
  • A. Sichuan opera chosen
    Sichuan opera is a regional form of Chinese opera from Sichuan province, famed for its lively music, acrobatics, and rapid face-changing (bian lian) performances.
  • B. Kunqu opera
    Kunqu opera is one of the oldest and most refined forms of traditional Chinese theatre, known for its elegant singing, poetic librettos, and graceful, stylized performance.
  • C. Yue opera
    Yue opera is a popular form of Chinese regional opera originating from Zhejiang, known for its lyrical melodies, romantic themes, and prominent roles for female performers.
  • D. Huangmei opera
    Huangmei opera is a traditional Chinese regional opera style from Anhui Province, known for its lyrical melodies, simple folk origins, and romantic storylines.
  • E. Peking opera
    Peking opera is a traditional Chinese theatrical art form that combines stylized singing, speech, dance, and acrobatics with elaborate costumes and symbolic makeup.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a4512c8190b7782e1dee053000 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f13129fa608190b080dc27f8bd7803 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.