Triple

T13914968
Position Surface form Disambiguated ID Type / Status
Subject Tiangongyuan station E334596 entity
Predicate adjacentStation P5707 FINISHED
Object Qingyuanlu station
Qingyuanlu station is a subway station in Beijing, China, serving passengers on the city's rapid transit network.
 E1152234 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: Qingyuanlu station | Statement: [Tiangongyuan station, adjacentStation, Qingyuanlu station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qingyuanlu station
Context triple: [Tiangongyuan station, adjacentStation, Qingyuanlu station]
  • A. Yuquanlu station
    Yuquanlu station is a subway station on Beijing's Line 1 serving the Yuquan Road area in the city's western Haidian/Shijingshan districts.
  • B. Youyi Road station
    Youyi Road station is a metro station on the Shanghai Metro network serving passengers in the Baoshan District of Shanghai, China.
  • C. Guoquan Road station
    Guoquan Road station is a metro station in Shanghai, China, serving passengers on the city's Line 18.
  • D. Yuzhilu station
    Yuzhilu station is a subway station on Beijing's extensive metro network, serving passengers along Line 8.
  • E. Jinping Road station
    Jinping Road station is a metro station on the Shanghai Metro network serving passengers along Line 5 in Shanghai, China.
  • 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: Qingyuanlu station
Triple: [Tiangongyuan station, adjacentStation, Qingyuanlu station]
Generated description
Qingyuanlu station is a subway station in Beijing, China, serving passengers on the city's rapid transit network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qingyuanlu station
Target entity description: Qingyuanlu station is a subway station in Beijing, China, serving passengers on the city's rapid transit network.
  • A. Yuquanlu station
    Yuquanlu station is a subway station on Beijing's Line 1 serving the Yuquan Road area in the city's western Haidian/Shijingshan districts.
  • B. Youyi Road station
    Youyi Road station is a metro station on the Shanghai Metro network serving passengers in the Baoshan District of Shanghai, China.
  • C. Guoquan Road station
    Guoquan Road station is a metro station in Shanghai, China, serving passengers on the city's Line 18.
  • D. Yuzhilu station
    Yuzhilu station is a subway station on Beijing's extensive metro network, serving passengers along Line 8.
  • E. Jinping Road station
    Jinping Road station is a metro station on the Shanghai Metro network serving passengers along Line 5 in Shanghai, China.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27260ae08190be45b4b15898e365 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d196d88190a8fa54468b2de1bb completed May 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ff02c10b648190b1e2e04aa0c2596d completed May 9, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ff066e367c8190a0720fe636355ff8 completed May 9, 2026, 10:03 a.m.
Created at: April 9, 2026, 10:16 p.m.