Triple

T8126552
Position Surface form Disambiguated ID Type / Status
Subject Edificio Capitol E189743 entity
Predicate locatedOn P40 FINISHED
Object Gran Vía E27265 NE FINISHED

How this triple was built (2 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: [Edificio Capitol, locatedOn, Gran Vía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gran Vía
Context triple: [Edificio Capitol, locatedOn, Gran Vía]
  • A. Gran Vía chosen
    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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438eb778819085296e6cbfa2e70d completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc946b44d08190a042932ee908dc2f completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:34 p.m.