Triple

T8949119
Position Surface form Disambiguated ID Type / Status
Subject Chongqing Metro E213296 entity
Predicate firstLine P829 FINISHED
Object Line 2
Line 2 is a major Chongqing Metro rapid transit line known for its elevated monorail route that runs through the city's hilly terrain and dense urban core.
E768291 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 2 | Statement: [Chongqing Metro, firstLine, Line 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 2
Context triple: [Chongqing Metro, firstLine, Line 2]
  • A. Line 2
    Line 2 is one of the main lines of the Santiago Metro in Chile, running in a generally north–south direction and serving several central and densely populated areas of the city.
  • B. Line 2
    Line 2 is a trolleybus route within Geneva’s public transport system that serves as one of the city’s main electric bus lines.
  • C. Line 2
    Line 2 is a rapid transit line of the Barcelona Metro system that serves several central and northern neighborhoods of the city.
  • D. Line 2
    Line 2 is a planned second rapid transit line of the Turin Metro system in Turin, Italy, intended to expand the city's urban rail network.
  • E. Line 2
    Line 2 is a major circular line of the Seoul Metropolitan Subway system, known for being one of the busiest and most important routes in the network.
  • 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 2
Triple: [Chongqing Metro, firstLine, Line 2]
Generated description
Line 2 is a major Chongqing Metro rapid transit line known for its elevated monorail route that runs through the city's hilly terrain and dense urban core.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 2
Target entity description: Line 2 is a major Chongqing Metro rapid transit line known for its elevated monorail route that runs through the city's hilly terrain and dense urban core.
  • A. Line 2 chosen
    Line 2 is a major rapid transit line of the Chongqing Metro system in Chongqing, China, known for being one of the city's primary monorail corridors.
  • B. Line 2
    Line 2 is a major east–west rapid transit route of the Shanghai Metro that connects key commercial, residential, and airport hubs across the city.
  • C. Line 2
    Line 2 is a major route of Mexico City’s Metrobús bus rapid transit system, running along key thoroughfares to connect important residential and commercial areas.
  • D. Line 2
    Line 2 is one of the main lines of the Milan Metro rapid transit system, connecting key districts across the city.
  • E. Line 2
    Line 2 is a major circular line of the Seoul Metropolitan Subway system, known for being one of the busiest and most important routes in the network.
  • F. None of above.

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_69cfeb3680f88190a977ac4c103423f2 completed April 3, 2026, 4:30 p.m.
NEDg Description generation batch_69cfecad4c9081908598b47fce635d2e completed April 3, 2026, 4:37 p.m.
NED2 Entity disambiguation (via description) batch_69cfed0cb524819097af07d80ed537af completed April 3, 2026, 4:38 p.m.
Created at: March 30, 2026, 6:59 p.m.