Triple

T10575139
Position Surface form Disambiguated ID Type / Status
Subject T-casual E249589 entity
Predicate usableOn P2367 FINISHED
Object TramBaix
TramBaix is a tram network serving the Baix Llobregat area of the Barcelona metropolitan region in Catalonia, Spain.
 E871767 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: TramBaix | Statement: [T-casual, usableOn, TramBaix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TramBaix
Context triple: [T-casual, usableOn, TramBaix]
  • A. TRAM Besòs
    TRAM Besòs is a modern tram network serving the Besòs area of Barcelona and its metropolitan surroundings as part of the city’s light rail system.
  • B. Trambesòs
    Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
  • C. Berguedà
    Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
  • D. Camí de Quart
    Camí de Quart is a historic road that connected the city of Valencia with the nearby town of Quart de Poblet in Spain.
  • E. El Prat de Llobregat
    El Prat de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for hosting the city's main international airport.
  • 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: TramBaix
Triple: [T-casual, usableOn, TramBaix]
Generated description
TramBaix is a tram network serving the Baix Llobregat area of the Barcelona metropolitan region in Catalonia, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TramBaix
Target entity description: TramBaix is a tram network serving the Baix Llobregat area of the Barcelona metropolitan region in Catalonia, Spain.
  • A. TRAM Besòs
    TRAM Besòs is a modern tram network serving the Besòs area of Barcelona and its metropolitan surroundings as part of the city’s light rail system.
  • B. Trambesòs
    Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
  • C. Berguedà
    Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
  • D. Camí de Quart
    Camí de Quart is a historic road that connected the city of Valencia with the nearby town of Quart de Poblet in Spain.
  • E. El Prat de Llobregat
    El Prat de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for hosting the city's main international airport.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274b100c8190b477ef4cb745c269 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b5d89748190bb398943e4a16e9b completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94e1502108190a81bfa1d5a425e5a completed April 10, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_69d94f0bb6888190b4038df6dcd96d33 completed April 10, 2026, 7:27 p.m.
Created at: April 6, 2026, 12:38 p.m.