Triple

T8949114
Position Surface form Disambiguated ID Type / Status
Subject Chongqing Metro E213296 entity
Predicate monorailLines P86500 FINISHED
Object Line 3
Line 3 is a major straddle-beam monorail line of the Chongqing Rail Transit system, known for being one of the longest monorail lines in the world and a key north–south corridor in the city.
E770422 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 3 | Statement: [Chongqing Metro, monorailLines, Line 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 3
Context triple: [Chongqing Metro, monorailLines, Line 3]
  • A. Line 3
    Line 3 is a rapid transit line of the Toronto subway system, commonly known as the Scarborough RT, that served the Scarborough district.
  • B. Line 3
    Line 3 is a future rapid transit route of the Seville Metro intended to extend and improve the city’s urban rail network.
  • C. Line 3
    Line 3 is a major line of the Sofia Metro rapid transit system in Sofia, Bulgaria, serving key residential and commercial areas of the city.
  • D. Line 3
    Line 3 is a major north–south route of the Tehran Metro system, connecting key residential and commercial areas across the city.
  • E. Line 3
    Line 3 is a major north–south rapid transit route of the Shanghai Metro system, known for its elevated tracks and extensive coverage across 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 3
Triple: [Chongqing Metro, monorailLines, Line 3]
Generated description
Line 3 is a major straddle-beam monorail line of the Chongqing Rail Transit system, known for being one of the longest monorail lines in the world and a key north–south corridor in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 3
Target entity description: Line 3 is a major straddle-beam monorail line of the Chongqing Rail Transit system, known for being one of the longest monorail lines in the world and a key north–south corridor in the city.
  • A. Line 3 chosen
    Line 3 is a major rapid transit line of the Chongqing Metro system in Chongqing, China, known for its extensive elevated monorail route that connects key urban and suburban areas.
  • B. Line 3
    Line 3 is a major north–south rapid transit route of the Shanghai Metro system, known for its elevated tracks and extensive coverage across the city.
  • C. Line 3
    Line 3 is a major rapid transit route of the STC Metro system, serving key districts along its corridor.
  • D. Line 3
    Line 3 is one of the main lines of the Barcelona Metro system, running through central parts of the city and connecting several key stations and neighborhoods.
  • E. Line 3
    Line 3 is a major rapid transit route of the Guangzhou Metro system, known for its high passenger volume and key role in connecting central urban areas with the airport and suburban districts.
  • 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_69cfdb887378819093a48d7035609951 completed April 3, 2026, 3:23 p.m.
NEDg Description generation batch_69cfdc8166708190b1c4efc675de1be9 completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfdcfc28288190b849b3f0216a7e9a completed April 3, 2026, 3:30 p.m.
Created at: March 30, 2026, 6:59 p.m.