Triple

T14841271
Position Surface form Disambiguated ID Type / Status
Subject Line 8 (Beijing Subway) E348969 entity
Predicate hasStation P35 FINISHED
Object Yongdingmenwai station
Yongdingmenwai station is a subway station in Beijing that serves Line 8 of the Beijing Subway network.
E1096957 NE FINISHED

How this triple was built (4 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: Yongdingmenwai station | Statement: [Line 8 (Beijing Subway), hasStation, Yongdingmenwai station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yongdingmenwai station
Context triple: [Line 8 (Beijing Subway), hasStation, Yongdingmenwai station]
  • A. Yongdingmenwai station
    Yongdingmenwai station is a subway station in Beijing that serves Line 2 of the Beijing Subway network.
  • B. Xuanwumen station
    Xuanwumen station is a major interchange stop on the Beijing Subway, serving as a key transfer point near central Beijing.
  • C. Chongwenmen station
    Chongwenmen station is a major interchange stop on the Beijing Subway serving central Beijing near the historic Chongwenmen gate area.
  • D. Xizhimen station
    Xizhimen station is a major interchange hub in the Beijing Subway system, connecting multiple lines and serving the busy Xizhimen commercial and transport area.
  • E. Fuchengmen station
    Fuchengmen station is an underground metro station in Beijing serving the central Xicheng District as part of the city’s extensive subway network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yongdingmenwai station
Triple: [Line 8 (Beijing Subway), hasStation, Yongdingmenwai station]
Generated description
Yongdingmenwai station is a subway station in Beijing that serves Line 8 of the Beijing Subway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yongdingmenwai station
Target entity description: Yongdingmenwai station is a subway station in Beijing that serves Line 8 of the Beijing Subway network.
  • A. Yongdingmenwai station chosen
    Yongdingmenwai station is a subway station in Beijing that serves Line 2 of the Beijing Subway network.
  • B. Xuanwumen station
    Xuanwumen station is a major interchange stop on the Beijing Subway, serving as a key transfer point near central Beijing.
  • C. Chongwenmen station
    Chongwenmen station is a major interchange stop on the Beijing Subway serving central Beijing near the historic Chongwenmen gate area.
  • D. Xizhimen station
    Xizhimen station is a major interchange hub in the Beijing Subway system, connecting multiple lines and serving the busy Xizhimen commercial and transport area.
  • E. Fuchengmen station
    Fuchengmen station is an underground metro station in Beijing serving the central Xicheng District as part of the city’s extensive subway network.
  • F. None of above.

Provenance (5 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff8754ef408190be0e4ea5c35cf000 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff881731ac8190baa3cea2c9b7975b completed May 9, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69ff88cfbe388190b20c426b4c745f92 completed May 9, 2026, 7:19 p.m.
Created at: April 10, 2026, 1:53 a.m.