Triple

T12959421
Position Surface form Disambiguated ID Type / Status
Subject Tramway de Tours E310099 entity
Predicate line P1293 FINISHED
Object Line A
Line A is the main tram line of the Tours tramway system in Tours, France, providing north–south light rail transit across the city.
E1012820 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 A | Statement: [Tramway de Tours, line, Line A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line A
Context triple: [Tramway de Tours, line, Line A]
  • A. Line A
    Line A is a line of the Mexico City Metro system that serves the eastern part of the metropolitan area, connecting central Mexico City with several suburban municipalities.
  • B. Line A
    Line A is the main north–south rapid transit line of the Medellín Metro system in Colombia, serving as its busiest and most central corridor.
  • C. Line A
    Line A is the primary route of the Bilbao tram system, serving key areas of the city with modern light rail service.
  • D. Line A
    Line A is one of the main routes of the Porto Metro light rail system in Porto, Portugal, connecting key urban and suburban areas.
  • E. Line A
    Line A is one of the main lines of the Prague Metro, running east–west through the city and serving several central and residential districts.
  • 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 A
Triple: [Tramway de Tours, line, Line A]
Generated description
Line A is the main tram line of the Tours tramway system in Tours, France, providing north–south light rail transit across the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line A
Target entity description: Line A is the main tram line of the Tours tramway system in Tours, France, providing north–south light rail transit across the city.
  • A. Line A
    Line A is a principal route of the Orléans tramway system in France, providing urban light rail transit across key areas of the city.
  • B. Line A
    Line A is one of the main routes of the Strasbourg tramway network, providing key light-rail transit across the city.
  • C. Line A
    Line A is one of the main tram lines serving the city of Reims, France, providing urban public transportation across key districts.
  • D. Line A
    Line A is the primary route of the Bilbao tram system, serving key areas of the city with modern light rail service.
  • E. Line A
    Line A is one of the main lines of the Prague Metro, running east–west through the city and serving several central and residential districts.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e006cc819091e5f4b044cadea4 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dac2c88190850304023f156969 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb2602848190b9588134c71d0ef4 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 5:44 p.m.