Triple

T17808969
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen Metro Line 4 E444645 entity
Predicate terminus P388 FINISHED
Object Qinghu station
Qinghu station is a metro station in Shenzhen, China, serving as the northern endpoint of the city's Line 4 rapid transit route.
 E1371945 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: Qinghu station | Statement: [Shenzhen Metro Line 4, terminus, Qinghu station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qinghu station
Context triple: [Shenzhen Metro Line 4, terminus, Qinghu station]
  • A. Tiantongyuan station
    Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
  • B. Xierqi Station
    Xierqi Station is a major interchange station on the Beijing Subway, serving as a key hub for commuters in the city’s northern high-tech and residential areas.
  • C. Yitian station
    Yitian station is a metro station in Shenzhen, China, serving as the southern terminus of Shenzhen Metro Line 3.
  • D. Xinzhuang station
    Xinzhuang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Zhonghe–Xinlu line.
  • E. Xinzhuang Station
    Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s 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: Qinghu station
Triple: [Shenzhen Metro Line 4, terminus, Qinghu station]
Generated description
Qinghu station is a metro station in Shenzhen, China, serving as the northern endpoint of the city's Line 4 rapid transit route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qinghu station
Target entity description: Qinghu station is a metro station in Shenzhen, China, serving as the northern endpoint of the city's Line 4 rapid transit route.
  • A. Tiantongyuan station
    Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
  • B. Xierqi Station
    Xierqi Station is a major interchange station on the Beijing Subway, serving as a key hub for commuters in the city’s northern high-tech and residential areas.
  • C. Yitian station
    Yitian station is a metro station in Shenzhen, China, serving as the southern terminus of Shenzhen Metro Line 3.
  • D. Xinzhuang station
    Xinzhuang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Zhonghe–Xinlu line.
  • E. Xinzhuang Station
    Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887976e48190842840ef064dc772 completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0723ef338c819084b9f2d04aea4290 completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a07256bcabc819090f9a13046df763f completed May 15, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0726306be48190962cb5eebb214136 completed May 15, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:14 a.m.