Triple

T4542003
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen Metro E107554 entity
Predicate hasLine P35 FINISHED
Object Line 16
Line 16 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China.
 E460558 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: Line 16 | Statement: [Shenzhen Metro, hasLine, Line 16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 16
Context triple: [Shenzhen Metro, hasLine, Line 16]
  • A. Line 16
    Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
  • B. Line 16
    Line 16 is a suburban rapid transit line of the Shanghai Metro that connects central Shanghai with the southeastern outskirts, including the Lingang area.
  • C. Line 18
    Line 18 is a rapid transit line of the Shanghai Metro system serving various districts in Shanghai, China.
  • D. Line 18
    Line 18 is a high-speed rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • E. Line 17
    Line 17 is a rapid transit line of the Beijing Subway system designed to improve north–south connectivity across the city.
  • 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: Line 16
Triple: [Shenzhen Metro, hasLine, Line 16]
Generated description
Line 16 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 16
Target entity description: Line 16 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China.
  • A. Line 16
    Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
  • B. Line 16
    Line 16 is a suburban rapid transit line of the Shanghai Metro that connects central Shanghai with the southeastern outskirts, including the Lingang area.
  • C. Line 18
    Line 18 is a high-speed rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • D. Line 18
    Line 18 is a rapid transit line of the Shanghai Metro system serving various districts in Shanghai, China.
  • E. Line 17
    Line 17 is a rapid transit line of the Beijing Subway system designed to improve north–south connectivity across the city.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d219d88190a67ada845323d7fb completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03391b3481909fd41ac03abe5d1b completed March 21, 2026, 2:32 a.m.
NEDg Description generation batch_69be0542daf08190b792855c8129ac50 completed March 21, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69be05c1dcd48190a08a5748e86a5ac8 completed March 21, 2026, 2:43 a.m.
Created at: March 20, 2026, 1:04 p.m.