Triple

T8949101
Position Surface form Disambiguated ID Type / Status
Subject Chongqing Metro E213296 entity
Predicate hasLine P35 FINISHED
Object Line 1
Line 1 is a major rapid transit line of the Chongqing Metro system in Chongqing, China, providing east–west urban rail service across the city.
E768290 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 1 | Statement: [Chongqing Metro, hasLine, Line 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 1
Context triple: [Chongqing Metro, hasLine, Line 1]
  • A. Line 1
    Line 1 is the oldest and one of the busiest lines of the Santiago Metro, running primarily east–west across central Santiago, Chile.
  • B. Line 1
    Line 1 is the oldest and one of the busiest lines of the Paris Métro, running primarily east–west through central Paris and serving many major landmarks.
  • C. Line 1
    Line 1 is the first and main rapid transit line of the Seville Metro system in Seville, Spain, connecting key districts across the metropolitan area.
  • D. Line 1
    Line 1 is the designation for the Red Line, one of the main rapid transit corridors of the Delhi Metro network in India.
  • E. Line 1
    Line 1 is a major Milan Metro line that serves key areas of the city, including Milano Cadorna station.
  • 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 1
Triple: [Chongqing Metro, hasLine, Line 1]
Generated description
Line 1 is a major rapid transit line of the Chongqing Metro system in Chongqing, China, providing east–west urban rail service across the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 1
Target entity description: Line 1 is a major rapid transit line of the Chongqing Metro system in Chongqing, China, providing east–west urban rail service across the city.
  • A. Line 1
    Line 1 is a major rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's primary east–west corridors.
  • B. Line 1
    Line 1 is a major north–south rapid transit line of the Shanghai Metro and one of the system’s oldest and busiest routes.
  • C. Line 1
    Line 1 is a major rapid transit line of the Shenzhen Metro system, serving as one of the city's primary east–west subway corridors.
  • D. Line 1
    Line 1 is one of the main east–west rapid transit lines of the Beijing Subway, serving as a core corridor through central Beijing.
  • E. Line 1
    Line 1 is one of the main lines of the Barcelona Metro rapid transit system, running on a largely east–west axis and serving several key districts of 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_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_69cfc206550c8190abf016f25b14fa64 completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc3f170a08190a2cab07eb280ee3b completed April 3, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69cfc476204481909f0baaf400483f33 completed April 3, 2026, 1:45 p.m.
Created at: March 30, 2026, 6:59 p.m.