Triple

T20941387
Position Surface form Disambiguated ID Type / Status
Subject Nantes Busway E515728 entity
Predicate hasLine P35 FINISHED
Object Line 6
Line 6 is a route of the Nantes Busway network, providing high-frequency bus rapid transit service within the city of Nantes, France.
 E1457761 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 6 | Statement: [Nantes Busway, hasLine, Line 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 6
Context triple: [Nantes Busway, hasLine, Line 6]
  • A. Line 6
    Line 6 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving multiple urban districts with frequent subway service.
  • B. Line 6
    Line 6 is a route of Mexico City’s Metrobús bus rapid transit system that serves as one of the network’s main corridors.
  • C. Line 6
    Line 6 is a major rapid transit route in the Beijing Subway system that runs east–west across the city, helping to relieve congestion on other central lines.
  • D. Line 6
    Line 6 is a major north–south route of the Tehran Metro system, serving numerous key districts across Iran’s capital city.
  • E. Line 6
    Line 6 is a planned rapid transit route within the future Ho Chi Minh City Metro system in Vietnam.
  • 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 6
Triple: [Nantes Busway, hasLine, Line 6]
Generated description
Line 6 is a route of the Nantes Busway network, providing high-frequency bus rapid transit service within the city of Nantes, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 6
Target entity description: Line 6 is a route of the Nantes Busway network, providing high-frequency bus rapid transit service within the city of Nantes, France.
  • A. Line 6
    Line 6 is a route of the Tunis Metro light rail network serving passengers within the Tunis metropolitan area.
  • B. Line 6
    Line 6 is a rapid transit route of the Brussels Metro system that serves key stations in Belgium’s capital.
  • C. Line 6
    Line 6 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving multiple districts across the city.
  • D. Line 6
    Line 6 is a route of Mexico City’s Metrobús bus rapid transit system that serves as one of the network’s main corridors.
  • E. Line 6
    Line 6 is a planned rapid transit route within the future Ho Chi Minh City Metro system in Vietnam.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f955f0148190ae42278ad5c0f363 completed April 21, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091fd8a17c819089f7af8ff6048ece completed May 17, 2026, 1:54 a.m.
NEDg Description generation batch_6a09210bde4c8190841af0f9a29ecdd9 completed May 17, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a09217fdcd08190bc41700ec09851e1 completed May 17, 2026, 2:01 a.m.
Created at: April 16, 2026, 12:50 p.m.