Triple

T10541130
Position Surface form Disambiguated ID Type / Status
Subject TGV Ouigo E248696 entity
Predicate notableRoute P22 FINISHED
Object Madrid–Barcelona
Madrid–Barcelona is a major high-speed rail corridor in Spain connecting the country’s capital with its leading Catalan metropolis.
 E871014 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: Madrid–Barcelona | Statement: [TGV Ouigo, notableRoute, Madrid–Barcelona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madrid–Barcelona
Context triple: [TGV Ouigo, notableRoute, Madrid–Barcelona]
  • A. Barcelona
    Barcelona is a major Spanish Mediterranean city renowned for its distinctive Catalan culture, Gaudí architecture, and vibrant arts and nightlife scenes.
  • B. Rivas-Vaciamadrid
    Rivas-Vaciamadrid is a rapidly growing suburban municipality in central Spain, located southeast of Madrid and known for its residential developments and proximity to natural areas like the Southeast Regional Park.
  • C. Barcelonès
    Barcelonès is a highly urbanized comarca in Catalonia that includes the city of Barcelona and serves as one of the most densely populated areas in Spain.
  • D. Sevilla
    Sevilla is a station on Madrid's Metro network, serving Line 2 in the city center.
  • E. Sevilla
    Sevilla is a Mexico City Metro station on Line 1, located in the central area of the city and serving nearby commercial and residential zones.
  • 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: Madrid–Barcelona
Triple: [TGV Ouigo, notableRoute, Madrid–Barcelona]
Generated description
Madrid–Barcelona is a major high-speed rail corridor in Spain connecting the country’s capital with its leading Catalan metropolis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madrid–Barcelona
Target entity description: Madrid–Barcelona is a major high-speed rail corridor in Spain connecting the country’s capital with its leading Catalan metropolis.
  • A. Barcelona
    Barcelona is a major Spanish Mediterranean city renowned for its distinctive Catalan culture, Gaudí architecture, and vibrant arts and nightlife scenes.
  • B. Rivas-Vaciamadrid
    Rivas-Vaciamadrid is a rapidly growing suburban municipality in central Spain, located southeast of Madrid and known for its residential developments and proximity to natural areas like the Southeast Regional Park.
  • C. Barcelonès
    Barcelonès is a highly urbanized comarca in Catalonia that includes the city of Barcelona and serves as one of the most densely populated areas in Spain.
  • D. Sevilla
    Sevilla is a station on Madrid's Metro network, serving Line 2 in the city center.
  • E. Sevilla
    Sevilla is a Mexico City Metro station on Line 1, located in the central area of the city and serving nearby commercial and residential zones.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5918648190b16c2d1bc1bf015f completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9341d96c08190a6ba644b9acfe2c8 completed April 10, 2026, 5:32 p.m.
NEDg Description generation batch_69d93802a4488190aa86ae209650d4e7 completed April 10, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69d938fcc3c48190a4acaaf75c1aa304 completed April 10, 2026, 5:53 p.m.
Created at: April 6, 2026, 12:32 p.m.