Triple

T8949104
Position Surface form Disambiguated ID Type / Status
Subject Chongqing Metro E213296 entity
Predicate hasLine P35 FINISHED
Object Line 4
Line 4 is a rapid transit line of the Chongqing Metro system in Chongqing, China, serving as part of the city's urban rail network.
E768292 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 4 | Statement: [Chongqing Metro, hasLine, Line 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 4
Context triple: [Chongqing Metro, hasLine, Line 4]
  • A. Line 4
    Line 4 is a rapid transit route of the STC Metro system, serving as one of its main urban rail lines.
  • B. Line 4
    Line 4 is a proposed circular metro line intended to complete and expand the Seville Metro network in Seville, Spain.
  • C. Line 4
    Line 4 is a major line of the Santiago Metro in Chile, serving key residential and commercial areas in the southeastern part of the city.
  • D. Line 4
    Line 4 is a circular rapid transit route of the Shanghai Metro system that loops around central districts and provides key transfer connections across the network.
  • E. Line 4
    Line 4 is a rapid transit line of the Barcelona Metro network that serves several central and coastal neighborhoods in 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 4
Triple: [Chongqing Metro, hasLine, Line 4]
Generated description
Line 4 is a rapid transit line of the Chongqing Metro system in Chongqing, China, serving as part of the city's urban rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 4
Target entity description: Line 4 is a rapid transit line of the Chongqing Metro system in Chongqing, China, serving as part of the city's urban rail network.
  • A. Line 4
    Line 4 is a rapid transit line of the Nanjing Metro system in Nanjing, China, serving as one of the city's main urban rail corridors.
  • B. Line 4
    Line 4 is a rapid transit route of the STC Metro system, serving as one of its main urban rail lines.
  • C. Line 4
    Line 4 is a planned rapid transit route within the future Ho Chi Minh City Metro system in Vietnam.
  • D. Line 4
    Line 4 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving key urban and suburban areas along its north–south corridor.
  • E. Line 4
    Line 4 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving as one of the city's major north–south corridors.
  • 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.