Triple

T17735702
Position Surface form Disambiguated ID Type / Status
Subject Taishan District E442710 entity
Predicate borders P224 FINISHED
Object Guishan 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: Guishan District | Statement: [Taishan District, borders, Guishan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guishan District
Context triple: [Taishan District, borders, Guishan District]
  • A. Guishan District chosen
    Guishan District is an urban district in Taoyuan City, Taiwan, known for its mix of residential areas, industrial zones, and educational institutions.
  • B. Yinhai District
    Yinhai District is an urban district of Beihai City in Guangxi, China, known for its coastal location and role in the city's economic and administrative activities.
  • C. Xizhi District
    Xizhi District is a suburban district of New Taipei City in northern Taiwan, known for its residential communities, technology parks, and convenient access to central Taipei.
  • D. Fushan District
    Fushan District is an urban administrative district of Yantai in Shandong Province, eastern China, known for its coastal location and industrial and residential development.
  • E. Chenghua District
    Chenghua District is an urban district of Chengdu, China, best known internationally as the home of the Chengdu Research Base of Giant Panda Breeding.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478eaff6c81909c7bd438b8c6c987 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.