Triple

T8949110
Position Surface form Disambiguated ID Type / Status
Subject Chongqing Metro E213296 entity
Predicate hasLine P35 FINISHED
Object Line 18
Line 18 is a planned rapid transit line of the Chongqing Metro system in Chongqing, China.
 E770425 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 18 | Statement: [Chongqing Metro, hasLine, Line 18]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 18
Context triple: [Chongqing Metro, hasLine, Line 18]
  • A. Line 18
    Line 18 is a high-speed rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • B. Line 18
    Line 18 is a rapid transit line of the Shanghai Metro system serving various districts in Shanghai, China.
  • C. Line 19
    Line 19 is a north–south rapid transit line of the Beijing Subway designed to improve connectivity between the city's central districts and its outer areas.
  • D. Line 19
    Line 19 is a planned rapid transit line of the Shanghai Metro network intended to serve additional urban and suburban areas of the city.
  • E. 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.
  • 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 18
Triple: [Chongqing Metro, hasLine, Line 18]
Generated description
Line 18 is a planned rapid transit line of the Chongqing Metro system in Chongqing, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 18
Target entity description: Line 18 is a planned rapid transit line of the Chongqing Metro system in Chongqing, China.
  • A. Line 18
    Line 18 is a high-speed rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • B. Line 18
    Line 18 is a rapid transit line of the Shanghai Metro system serving various districts in Shanghai, China.
  • C. Line 19
    Line 19 is a north–south rapid transit line of the Beijing Subway designed to improve connectivity between the city's central districts and its outer areas.
  • D. Line 19
    Line 19 is a planned rapid transit line of the Shanghai Metro network intended to serve additional urban and suburban areas of the city.
  • E. 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.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6709c7a48190ab503083a1d6a29f completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93c678c81909d2ab68308d7c2f0 completed April 3, 2026, 2:05 p.m.
NEDg Description generation batch_69cfccf492048190acc6670a0f32607c completed April 3, 2026, 2:21 p.m.
NED2 Entity disambiguation (via description) batch_69cfcda4cf188190b88a6379b5456754 completed April 3, 2026, 2:24 p.m.
Created at: March 30, 2026, 6:59 p.m.