Triple

T8949109
Position Surface form Disambiguated ID Type / Status
Subject Chongqing Metro E213296 entity
Predicate hasLine P35 FINISHED
Object Loop Line
Loop Line is a circular rapid transit route within the Chongqing Metro system that connects multiple key districts in Chongqing, China.
E768295 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: Loop Line | Statement: [Chongqing Metro, hasLine, Loop Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loop Line
Context triple: [Chongqing Metro, hasLine, Loop Line]
  • A. C Line
    The C Line is a local New York City Subway service that runs along the Eighth Avenue Line in Manhattan and through parts of Brooklyn and Queens.
  • B. C Line
    The C Line was a light rail service in Denver, Colorado, that operated as part of the Regional Transportation District’s rail network.
  • C. C Line
    The C Line is a light rail route in the Los Angeles Metro Rail system that runs primarily along the I-105 freeway corridor, connecting coastal and inland communities in the South Bay region.
  • D. 1 Line
    The 1 Line is a light rail route in the Seattle metropolitan area that forms the core north–south spine of Sound Transit's Link light rail system.
  • E. Line L
    Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit 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: Loop Line
Triple: [Chongqing Metro, hasLine, Loop Line]
Generated description
Loop Line is a circular rapid transit route within the Chongqing Metro system that connects multiple key districts in Chongqing, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loop Line
Target entity description: Loop Line is a circular rapid transit route within the Chongqing Metro system that connects multiple key districts in Chongqing, China.
  • A. C Line
    The C Line is a local New York City Subway service that runs along the Eighth Avenue Line in Manhattan and through parts of Brooklyn and Queens.
  • B. C Line
    The C Line was a light rail service in Denver, Colorado, that operated as part of the Regional Transportation District’s rail network.
  • C. C Line
    The C Line is a light rail route in the Los Angeles Metro Rail system that runs primarily along the I-105 freeway corridor, connecting coastal and inland communities in the South Bay region.
  • D. 1 Line
    The 1 Line is a light rail route in the Seattle metropolitan area that forms the core north–south spine of Sound Transit's Link light rail system.
  • E. Line L
    Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit network.
  • 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.