Triple

T13170274
Position Surface form Disambiguated ID Type / Status
Subject Dazhi Bridge E312957 entity
Predicate connects P390 FINISHED
Object Neihu area E343403 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: Neihu area | Statement: [Dazhi Bridge, connects, Neihu area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neihu area
Context triple: [Dazhi Bridge, connects, Neihu area]
  • A. Zhuzihu area
    Zhuzihu area is a scenic valley on Yangmingshan in Taipei, Taiwan, famed for its seasonal calla lily fields, cool climate, and rural mountain landscapes.
  • B. Guomao area
    The Guomao area is a major commercial and transportation hub in Beijing, known for its dense cluster of skyscrapers, shopping centers, and the key Guomao interchange on the city’s ring roads.
  • C. Meixihu area
    Meixihu area is a rapidly developing urban district in Changsha, Hunan, known for its modern residential complexes, cultural venues, and commercial centers around Meixi Lake.
  • D. Neihu District chosen
    Neihu District is a suburban and technology-focused district in northeastern Taipei, Taiwan, known for its science parks, residential communities, and natural scenery.
  • E. Diecai District
    Diecai District is an urban district of Guilin in Guangxi, China, known for its scenic karst landscapes and role as part of the city’s core administrative area.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2e03c481909909b8f10c7e8ffc completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf92c1881909d387dcf50d8d09f completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:13 p.m.