Triple

T11441083
Position Surface form Disambiguated ID Type / Status
Subject Zaragoza tram E271143 entity
Predicate passesThrough P225 FINISHED
Object Gran Vía
Gran Vía is a major thoroughfare in Zaragoza, Spain, known for its central location, commercial activity, and role as a key public transport corridor.
E931717 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: Gran Vía | Statement: [Zaragoza tram, passesThrough, Gran Vía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gran Vía
Context triple: [Zaragoza tram, passesThrough, Gran Vía]
  • A. Gran Vía
    Gran Vía is one of Madrid’s most famous and bustling avenues, known for its grand architecture, theaters, shops, and vibrant nightlife.
  • B. Calle Mayor
    Calle Mayor is one of Madrid’s historic main streets, linking the central Puerta del Sol with the old Habsburg quarter and the Plaza Mayor.
  • C. Avenida de Aragón
    Avenida de Aragón is a major thoroughfare in Madrid, Spain, known for connecting the city with the A-2 highway toward Zaragoza and the Madrid–Barajas Airport area.
  • D. Calle de Madrid
    Calle de Madrid is a historic street in central Madrid, Spain, located near the Plaza de la Villa in the city’s old quarter.
  • E. Calle Madrid
    Calle Madrid is a street in Guadalajara, Spain, known for hosting the historic medieval tower Torreón de Álvar Fáñez.
  • 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: Gran Vía
Triple: [Zaragoza tram, passesThrough, Gran Vía]
Generated description
Gran Vía is a major thoroughfare in Zaragoza, Spain, known for its central location, commercial activity, and role as a key public transport corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gran Vía
Target entity description: Gran Vía is a major thoroughfare in Zaragoza, Spain, known for its central location, commercial activity, and role as a key public transport corridor.
  • A. Gran Vía
    Gran Vía is one of Madrid’s most famous and bustling avenues, known for its grand architecture, theaters, shops, and vibrant nightlife.
  • B. Calle Mayor
    Calle Mayor is one of Madrid’s historic main streets, linking the central Puerta del Sol with the old Habsburg quarter and the Plaza Mayor.
  • C. Avenida de Aragón
    Avenida de Aragón is a major thoroughfare in Madrid, Spain, known for connecting the city with the A-2 highway toward Zaragoza and the Madrid–Barajas Airport area.
  • D. Calle de Madrid
    Calle de Madrid is a historic street in central Madrid, Spain, located near the Plaza de la Villa in the city’s old quarter.
  • E. Calle Madrid
    Calle Madrid is a street in Guadalajara, Spain, known for hosting the historic medieval tower Torreón de Álvar Fáñez.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d80888190c8190b6365550ffe4931c completed April 9, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684e29a6c8190910b1c6f717d6c5e completed April 20, 2026, 7:56 p.m.
NEDg Description generation batch_69e68fd6b6088190b24f552b5afc3f55 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7a31b4081909b06bc9b6d0a1617 completed April 20, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:35 p.m.