Triple

T9912315
Position Surface form Disambiguated ID Type / Status
Subject Line 1 (Guangzhou Metro) E185773 entity
Predicate servesStation P839 FINISHED
Object Dongshankou station E217775 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: Dongshankou station | Statement: [Line 1 (Guangzhou Metro), servesStation, Dongshankou station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongshankou station
Context triple: [Line 1 (Guangzhou Metro), servesStation, Dongshankou station]
  • A. Dongshankou Station chosen
    Dongshankou Station is an underground interchange station on the Guangzhou Metro system serving the Dongshan area of Guangzhou, China.
  • B. Wudaokou station
    Wudaokou station is a busy Beijing Subway stop in the Haidian District, known for serving a major university and tech hub area popular with students and young professionals.
  • C. Jiaochangkou Station
    Jiaochangkou Station is an underground metro station in central Chongqing, China, serving as part of the city's Chongqing Rail Transit network.
  • D. 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.
  • E. Wuchang Railway Station
    Wuchang Railway Station is one of the main passenger rail hubs in Wuhan, China, serving as a key node for regional and long-distance train services.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5391b8081908094b88cdde4b55a completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dbe24a64819098bc94a8a62cc46b completed April 10, 2026, 11:15 a.m.
Created at: March 30, 2026, 8:41 p.m.