Triple

T20941506
Position Surface form Disambiguated ID Type / Status
Subject TAN public transport network E515732 entity
Predicate hasTramLine P17788 FINISHED
Object Line 2
Line 2 is a tram route in the TAN public transport network serving the city of Nantes, France.
E1457764 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 2 | Statement: [TAN public transport network, hasTramLine, Line 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 2
Context triple: [TAN public transport network, hasTramLine, Line 2]
  • A. Line 2
    Line 2 is a major route of Mexico City’s Metrobús bus rapid transit system, running along key thoroughfares to connect important residential and commercial areas.
  • B. Line 2
    Line 2 is one of the main lines of the Santiago Metro in Chile, running in a generally north–south direction and serving several central and densely populated areas of the city.
  • C. Line 2
    Line 2 is a planned second rapid transit line of the Turin Metro system in Turin, Italy, intended to expand the city's urban rail network.
  • D. Line 2
    Line 2 is a major rapid transit route of the STC Metro system, serving key districts along one of the network’s primary corridors.
  • E. Line 2
    Line 2 is one of the main lines of the Milan Metro rapid transit system, connecting key districts 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 2
Triple: [TAN public transport network, hasTramLine, Line 2]
Generated description
Line 2 is a tram route in the TAN public transport network serving the city of Nantes, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 2
Target entity description: Line 2 is a tram route in the TAN public transport network serving the city of Nantes, France.
  • A. Line 2
    Line 2 is a tram route of the Nottingham Express Transit system in Nottingham, England, serving key suburbs and destinations along its corridor.
  • B. Line 2
    Line 2 is a major route of the Tunis Metro light rail network, serving key districts within the Tunis metropolitan area.
  • C. Line 2
    Line 2 is a trolleybus route within Geneva’s public transport system that serves as one of the city’s main electric bus lines.
  • D. Line 2
    Line 2 is a major route within the Linz tramway network in Linz, Austria, providing urban public transport service across key parts of the city.
  • E. Line 2
    Line 2 is a major east–west rapid transit route of the Nanjing Metro system in Nanjing, China, connecting key urban districts and transportation hubs.
  • 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.