Triple

T20941385
Position Surface form Disambiguated ID Type / Status
Subject Nantes Busway E515728 entity
Predicate hasLine P35 FINISHED
Object Line 4
Line 4 is a bus rapid transit route in Nantes, France, forming part of the city's Nantes Busway network.
E1457760 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: [Nantes Busway, hasLine, Line 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 4
Context triple: [Nantes Busway, 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 north–south rapid transit route in the Beijing Subway system, serving key commercial, residential, and university areas of the city.
  • D. Line 4
    Line 4 is a planned rapid transit route within the future Ho Chi Minh City Metro system in Vietnam.
  • 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
  • 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: [Nantes Busway, hasLine, Line 4]
Generated description
Line 4 is a bus rapid transit route in Nantes, France, forming part of the city's Nantes Busway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 4
Target entity description: Line 4 is a bus rapid transit route in Nantes, France, forming part of the city's Nantes Busway network.
  • A. Line 4
    Line 4 is a route of the Tunis Metro light rail network serving parts of the Tunis metropolitan area in Tunisia.
  • B. Line 4
    Line 4 is a rapid transit line of the Barcelona Metro network that serves several central and coastal neighborhoods in the city.
  • C. Line 4
    Line 4 is one of the main north–south lines of the Paris Métro, known for serving central Paris and connecting key railway stations and neighborhoods.
  • D. 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.
  • E. Line 4
    Line 4 is a rapid transit route of the STC Metro system, serving as one of its main urban rail lines.
  • 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.