Triple

T10082257
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 4 E213929 entity
Predicate connectsStation P845 FINISHED
Object Tangqiao
Tangqiao is a Shanghai Metro station located in the city's central area, serving passengers on the circular Line 4 route.
 E840710 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: Tangqiao | Statement: [Shanghai Metro Line 4, connectsStation, Tangqiao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tangqiao
Context triple: [Shanghai Metro Line 4, connectsStation, Tangqiao]
  • A. Jinqiao
    Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
  • B. Kangqiao
    Kangqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities, international schools, and growing commercial development.
  • C. Hufangqiao
    Hufangqiao is a subway station in Beijing, China, serving passengers on the city's extensive metro network.
  • D. Wudaokou
    Wudaokou is a bustling neighborhood in Beijing known for its universities, tech companies, and vibrant student nightlife.
  • E. Tuqiao
    Tuqiao is a station in Beijing that serves as the eastern terminus of the city's Batong Line metro route.
  • 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: Tangqiao
Triple: [Shanghai Metro Line 4, connectsStation, Tangqiao]
Generated description
Tangqiao is a Shanghai Metro station located in the city's central area, serving passengers on the circular Line 4 route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tangqiao
Target entity description: Tangqiao is a Shanghai Metro station located in the city's central area, serving passengers on the circular Line 4 route.
  • A. Jinqiao
    Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
  • B. Kangqiao
    Kangqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities, international schools, and growing commercial development.
  • C. Hufangqiao
    Hufangqiao is a subway station in Beijing, China, serving passengers on the city's extensive metro network.
  • D. Wudaokou
    Wudaokou is a bustling neighborhood in Beijing known for its universities, tech companies, and vibrant student nightlife.
  • E. Tuqiao
    Tuqiao is a station in Beijing that serves as the eastern terminus of the city's Batong Line metro route.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd03482d481908b03d35dc2d16395 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b66b256c8190861066f7c19008d2 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2b7901ea08190a48e984356bd3d71 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b8813f9c8190a85462efb7a0a517 completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9 p.m.