Triple

T12453432
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 5 E297590 entity
Predicate hasStation P35 FINISHED
Object Huaning Road station
Huaning Road station is a metro station on Shanghai's rapid transit network serving passengers in the area along Line 5.
 E1000690 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: Huaning Road station | Statement: [Shanghai Metro Line 5, hasStation, Huaning Road station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huaning Road station
Context triple: [Shanghai Metro Line 5, hasStation, Huaning Road station]
  • A. Huapeng Road station
    Huapeng Road station is a metro station on the Shanghai Metro network serving passengers along Line 13 in Shanghai, China.
  • B. Guoquan Road station
    Guoquan Road station is a metro station in Shanghai, China, serving passengers on the city's Line 18.
  • C. Shiguang Road station
    Shiguang Road station is a Shanghai Metro station that serves as the northern terminus of Line 8 in Shanghai, China.
  • D. Zhaojiabang Road station
    Zhaojiabang Road station is an interchange station on the Shanghai Metro serving multiple lines in the Xuhui District of Shanghai, China.
  • E. Zhichun Road station
    Zhichun Road station is a Beijing Subway station serving the Haidian District, providing access to nearby universities, research institutes, and commercial areas.
  • 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: Huaning Road station
Triple: [Shanghai Metro Line 5, hasStation, Huaning Road station]
Generated description
Huaning Road station is a metro station on Shanghai's rapid transit network serving passengers in the area along Line 5.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huaning Road station
Target entity description: Huaning Road station is a metro station on Shanghai's rapid transit network serving passengers in the area along Line 5.
  • A. Huapeng Road station
    Huapeng Road station is a metro station on the Shanghai Metro network serving passengers along Line 13 in Shanghai, China.
  • B. Guoquan Road station
    Guoquan Road station is a metro station in Shanghai, China, serving passengers on the city's Line 18.
  • C. Shiguang Road station
    Shiguang Road station is a Shanghai Metro station that serves as the northern terminus of Line 8 in Shanghai, China.
  • D. Zhaojiabang Road station
    Zhaojiabang Road station is an interchange station on the Shanghai Metro serving multiple lines in the Xuhui District of Shanghai, China.
  • E. Zhichun Road station
    Zhichun Road station is a Beijing Subway station serving the Haidian District, providing access to nearby universities, research institutes, and commercial areas.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da0b5988190b9df26dd3bb87337 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c66449081909484b945b6b97643 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67ebf53e08190beffaef7903adbd4 completed May 2, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69f67f3993b481909b5de1c9873945a2 completed May 2, 2026, 10:48 p.m.
Created at: April 8, 2026, 9:56 p.m.