Triple

T3176495
Position Surface form Disambiguated ID Type / Status
Subject Line 13 (Beijing Subway) E66476 entity
Predicate servesStation P839 FINISHED
Object Beiyuan station E421245 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: Beiyuan station | Statement: [Line 13 (Beijing Subway), servesStation, Beiyuan station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beiyuan station
Context triple: [Line 13 (Beijing Subway), servesStation, Beiyuan station]
  • A. Jishuitan station
    Jishuitan station is a subway station in Beijing that serves the busy Line 2 loop near the city’s northern central area.
  • B. 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.
  • C. Caishikou station
    Caishikou station is a Beijing Subway interchange station serving central Beijing, known for connecting Line 4 with other key routes near the historic Caishikou area.
  • D. Guomao station
    Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
  • E. Huoying station chosen
    Huoying station is an interchange stop on the Beijing Subway that connects passengers to Line 13 and other transit services in the northern part of the city.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69b0bec8190957913b44d876079 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db52bcfc8190857a3ea5157d8416 completed March 14, 2026, 10:04 p.m.
Created at: March 8, 2026, 3:06 p.m.