Triple

T15476293
Position Surface form Disambiguated ID Type / Status
Subject Zhuzihu area E376788 entity
Predicate locatedIn P40 FINISHED
Object Beitou District E414653 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: Beitou District | Statement: [Zhuzihu area, locatedIn, Beitou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beitou District
Context triple: [Zhuzihu area, locatedIn, Beitou District]
  • A. Beitou District chosen
    Beitou District is a northern district of Taipei, Taiwan, known for its hot springs, mountainous scenery, and cultural attractions.
  • B. Tamsui District
    Tamsui District is a historic coastal district in New Taipei City, Taiwan, known for its riverside scenery, sunset views, and preserved old streets.
  • C. Shilin District
    Shilin District is a populous and historically rich administrative district in northern Taipei, Taiwan, known for its famous night market, cultural attractions, and educational institutions.
  • D. Shiding District
    Shiding District is a rural, mountainous district in southeastern New Taipei City, Taiwan, known for its historic mining villages, tea plantations, and scenic river valleys.
  • E. Xinyi District
    Xinyi District is a modern commercial and financial hub of Taipei, Taiwan, known for its skyscrapers, luxury shopping, and vibrant nightlife.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff454ac84c8190b1979e6caca3ee66 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:34 a.m.