Triple

T15645305
Position Surface form Disambiguated ID Type / Status
Subject MRT E376161 entity
Predicate notableStation P3858 FINISHED
Object Zhongxiao Fuxing Station E1228476 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: Zhongxiao Fuxing Station | Statement: [MRT, notableStation, Zhongxiao Fuxing Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhongxiao Fuxing Station
Context triple: [MRT, notableStation, Zhongxiao Fuxing Station]
  • A. Zhongxiao Fuxing Station chosen
    Zhongxiao Fuxing Station is a key Taipei Metro hub where major lines intersect, serving as a busy transfer point in the city’s central commercial district.
  • B. Chunxi Road Station
    Chunxi Road Station is a major metro station in Chengdu, China, providing access to the popular commercial and shopping district around Chunxi Road.
  • C. Zhongxiao Xinsheng Station
    Zhongxiao Xinsheng Station is a key Taipei Metro transfer hub where multiple subway lines intersect, facilitating high passenger volumes and convenient cross-city travel.
  • D. Zhongnan Road Station
    Zhongnan Road Station is a major interchange stop on the Wuhan Metro, serving as a key transit hub in the city’s central Wuchang District.
  • E. Sanyuanli station
    Sanyuanli station is an underground metro station in Guangzhou, China, serving the Baiyun District as part of the city's rapid transit network.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed400ec8190a14a9f7cf3092865 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 4:15 a.m.