Triple

T15645486
Position Surface form Disambiguated ID Type / Status
Subject Zhonghe–Xinlu line E376165 entity
Predicate connectsDistrict P2564 FINISHED
Object Luzhou 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: Luzhou District | Statement: [Zhonghe–Xinlu line, connectsDistrict, Luzhou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luzhou District
Context triple: [Zhonghe–Xinlu line, connectsDistrict, Luzhou District]
  • A. Luzhou District chosen
    Luzhou District is a suburban district of New Taipei City, Taiwan, known for its dense residential neighborhoods and proximity to central Taipei across the Tamsui River.
  • B. Shuicheng District
    Shuicheng District is an administrative district under the jurisdiction of Liupanshui City in Guizhou Province, southwestern China, known for its mountainous terrain and coal resources.
  • C. Jiangyang District
    Jiangyang District is the central urban district and administrative core of Luzhou in Sichuan Province, China.
  • D. Tongguan District
    Tongguan District is an urban administrative district within Tongling City in Anhui Province, eastern China, known for its role in the region’s industrial and economic activities.
  • E. Weicheng District
    Weicheng District is an urban administrative district forming part of the city of Weifang in Shandong Province, 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
Created at: April 10, 2026, 4:15 a.m.