Triple

T531009
Position Surface form Disambiguated ID Type / Status
Subject Beijing Subway E12220 entity
Predicate hasStation P35 FINISHED
Object Sihui station
Sihui station is a Beijing Subway interchange station serving as a key transfer point between major urban rail lines in the city.
 E72671 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: Sihui station | Statement: [Beijing Subway, hasStation, Sihui station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sihui station
Context triple: [Beijing Subway, hasStation, Sihui station]
  • A. Zhichunlu station
    Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
  • B. Guomao station
    Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
  • C. Songjiazhuang station
    Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
  • D. Pingguoyuan station
    Pingguoyuan station is a major western terminus and interchange station on the Beijing Subway serving the Shijingshan District of Beijing, China.
  • 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. 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: Sihui station
Triple: [Beijing Subway, hasStation, Sihui station]
Generated description
Sihui station is a Beijing Subway interchange station serving as a key transfer point between major urban rail lines in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sihui station
Target entity description: Sihui station is a Beijing Subway interchange station serving as a key transfer point between major urban rail lines in the city.
  • A. Zhichunlu station
    Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
  • B. Guomao station
    Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
  • C. Songjiazhuang station
    Songjiazhuang station is a major interchange hub in the Beijing Subway network, serving multiple lines in the southern part of the city.
  • D. Pingguoyuan station
    Pingguoyuan station is a major western terminus and interchange station on the Beijing Subway serving the Shijingshan District of Beijing, China.
  • 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. chosen

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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a494dda58c8190870305056838a2b2 completed March 1, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089bce6c8190a5c4f708fb94668b completed March 2, 2026, 3:48 a.m.
NEDg Description generation batch_69a5095544788190b3857961ad182716 completed March 2, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_69a509c051108190961b41e045208285 completed March 2, 2026, 3:53 a.m.
Created at: March 1, 2026, 7:32 p.m.