Triple

T18306708
Position Surface form Disambiguated ID Type / Status
Subject Sanxia District E438504 entity
Predicate knownFor P22 FINISHED
Object Sanxia Old Street NE NERFINISHED

How this triple was built (3 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: Sanxia Old Street | Statement: [Sanxia District, knownFor, Sanxia Old Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanxia Old Street
Context triple: [Sanxia District, knownFor, Sanxia Old Street]
  • A. Tunxi Old Street
    Tunxi Old Street is a historic commercial street in Huangshan, China, known for its well-preserved ancient architecture, traditional shops, and vibrant local culture.
  • B. Qibao Old Street
    Qibao Old Street is a historic, canal-side pedestrian street in Shanghai known for its traditional architecture, temples, street food, and preserved old-town atmosphere.
  • C. Tucheng Old Street
    Tucheng Old Street is a historic commercial street in New Taipei, Taiwan, known for its traditional architecture, local snacks, and preserved old-town atmosphere.
  • D. Shifen Old Street
    Shifen Old Street is a historic railway-side market street in Pingxi District, New Taipei, Taiwan, famous for its nostalgic atmosphere, sky lantern releases, and traditional food stalls.
  • E. Jinshan Old Street
    Jinshan Old Street is a historic commercial street in New Taipei City, Taiwan, known for its traditional architecture, local snacks, and nostalgic small-town atmosphere.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sanxia Old Street
Target entity description: Sanxia Old Street is a historic pedestrian street in New Taipei, Taiwan, famed for its well-preserved red-brick architecture, traditional shops, and local snacks.
  • A. Tunxi Old Street
    Tunxi Old Street is a historic commercial street in Huangshan, China, known for its well-preserved ancient architecture, traditional shops, and vibrant local culture.
  • B. Qibao Old Street
    Qibao Old Street is a historic, canal-side pedestrian street in Shanghai known for its traditional architecture, temples, street food, and preserved old-town atmosphere.
  • C. Tucheng Old Street
    Tucheng Old Street is a historic commercial street in New Taipei, Taiwan, known for its traditional architecture, local snacks, and preserved old-town atmosphere.
  • D. Shifen Old Street
    Shifen Old Street is a historic railway-side market street in Pingxi District, New Taipei, Taiwan, famous for its nostalgic atmosphere, sky lantern releases, and traditional food stalls.
  • E. Jinshan Old Street
    Jinshan Old Street is a historic commercial street in New Taipei City, Taiwan, known for its traditional architecture, local snacks, and nostalgic small-town atmosphere.
  • F. None of above. chosen

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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021519a481908a9b6561946f1c65 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.