Triple

T8947523
Position Surface form Disambiguated ID Type / Status
Subject Bilbao tram E213258 entity
Predicate hasLine P35 FINISHED
Object Line A
Line A is the primary route of the Bilbao tram system, serving key areas of the city with modern light rail service.
E768421 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: [Bilbao tram, hasLine, Line A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line A
Context triple: [Bilbao tram, hasLine, 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 historic first subway line of the Buenos Aires Underground, known for its early 20th-century wooden cars and route through central neighborhoods.
  • D. Line A
    Line A is one of the main routes of the Strasbourg tramway network, providing key light-rail transit across the city.
  • 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: [Bilbao tram, hasLine, Line A]
Generated description
Line A is the primary route of the Bilbao tram system, serving key areas of the city with modern light rail service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line A
Target entity description: Line A is the primary route of the Bilbao tram system, serving key areas of the city with modern light rail service.
  • A. Line A
    Line A is one of the main routes of the Strasbourg tramway network, providing key light-rail transit across the city.
  • B. Line A
    Line A is the historic first subway line of the Buenos Aires Underground, known for its early 20th-century wooden cars and route through central neighborhoods.
  • 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 main north–south rapid transit line of the Medellín Metro system in Colombia, serving as its busiest and most central corridor.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66deb8ec819087a9c5eddd24c08a completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc2022e30819089ba08f494a3a66f completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc27bae88819094bcfdf10e89018b completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc61d26fc8190817b430cb6fa9646 completed April 3, 2026, 1:52 p.m.
Created at: March 30, 2026, 6:59 p.m.