Triple

T7968209
Position Surface form Disambiguated ID Type / Status
Subject Guangzhou Metro Line 3 E185258 entity
Predicate hasInterchange P3495 FINISHED
Object Jiahewanggang station E202971 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: Jiahewanggang station | Statement: [Guangzhou Metro Line 3, hasInterchange, Jiahewanggang station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiahewanggang station
Context triple: [Guangzhou Metro Line 3, hasInterchange, Jiahewanggang station]
  • A. Jiahewanggang Station chosen
    Jiahewanggang Station is a major interchange station in Guangzhou, China, serving multiple lines of the Guangzhou Metro and connecting urban and suburban transit routes.
  • B. Jiantan Station
    Jiantan Station is a Taipei Metro station in Taiwan that serves as a major access point for visitors to the popular Shilin Night Market.
  • C. Zhichunlu station
    Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
  • D. Guogongzhuang station
    Guogongzhuang station is a Beijing Subway interchange station in the Fengtai District that serves as a key southern terminus and transfer point on the network.
  • E. Lijiao Station
    Lijiao Station is an interchange station on the Guangzhou Metro system in Guangzhou, China, serving as a local transit hub for passengers in its surrounding urban 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd06ee081908c5080003fb7b8f7 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0a334e08190ae67a9ca7b51a128 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:13 p.m.