Triple

T15701612
Position Surface form Disambiguated ID Type / Status
Subject Guandu Plain E380605 entity
Predicate near P350 FINISHED
Object Beitou District 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: Beitou District | Statement: [Guandu Plain, near, Beitou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beitou District
Context triple: [Guandu Plain, near, 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 (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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6e965881909319f85c51c6fb74 completed April 16, 2026, 2:54 a.m.
Created at: April 10, 2026, 4:45 a.m.