Triple

T17440607
Position Surface form Disambiguated ID Type / Status
Subject Zhongzheng District E424138 entity
Predicate borders P224 FINISHED
Object Wenshan 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: Wenshan District | Statement: [Zhongzheng District, borders, Wenshan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenshan District
Context triple: [Zhongzheng District, borders, Wenshan District]
  • A. Wenshan District chosen
    Wenshan District is a largely residential and hilly suburban district in southern Taipei, Taiwan, known for its green spaces, tea-growing areas, and access to attractions like the Maokong gondola.
  • B. Cangshan District
    Cangshan District is an urban district of Fuzhou in Fujian Province, China, known for its mix of historic architecture, educational institutions, and rapidly developing residential and commercial areas.
  • C. Yuanbaoshan District
    Yuanbaoshan District is an urban administrative district within the city of Chifeng in Inner Mongolia, China.
  • D. Yunlong District
    Yunlong District is an urban administrative district and central area of Xuzhou City in Jiangsu Province, China.
  • E. Mingshan District
    Mingshan District is an urban administrative district of the city of Benxi in Liaoning Province, northeastern China.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff75538819083f77756d39a1aaa completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 5:46 a.m.