Triple

T17414736
Position Surface form Disambiguated ID Type / Status
Subject Casón del Buen Retiro E423458 entity
Predicate locatedOn P40 FINISHED
Object Calle de Alfonso XII NE NERFINISHED

How this triple was built (3 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: Calle de Alfonso XII | Statement: [Casón del Buen Retiro, locatedOn, Calle de Alfonso XII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calle de Alfonso XII
Context triple: [Casón del Buen Retiro, locatedOn, Calle de Alfonso XII]
  • A. Calle Marqués de Larios
    Calle Marqués de Larios is a famous pedestrian shopping street in the historic center of Málaga, Spain, known for its elegant architecture, upscale boutiques, and major cultural events.
  • B. Calle de Príncipe de Vergara
    Calle de Príncipe de Vergara is a major thoroughfare in Madrid, Spain, known for its length, heavy traffic, and mix of residential, commercial, and institutional buildings.
  • C. Calle Córdoba
    Calle Córdoba is a street in Mexico City’s Roma neighborhood, known for its mix of historic architecture, trendy cafes, and vibrant urban life.
  • D. Calle de Ortega y Gasset
    Calle de Ortega y Gasset is an upscale shopping and residential street in Madrid, Spain, known for its luxury boutiques and elegant urban setting.
  • E. Calle de Felipe IV
    Calle de Felipe IV is a central street in Madrid, Spain, situated near major cultural landmarks such as the Prado Museum and the Retiro Park.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Calle de Alfonso XII
Target entity description: Calle de Alfonso XII is a central Madrid street bordering El Retiro Park, known for its historic buildings and cultural landmarks.
  • A. Calle Marqués de Larios
    Calle Marqués de Larios is a famous pedestrian shopping street in the historic center of Málaga, Spain, known for its elegant architecture, upscale boutiques, and major cultural events.
  • B. Calle de Príncipe de Vergara
    Calle de Príncipe de Vergara is a major thoroughfare in Madrid, Spain, known for its length, heavy traffic, and mix of residential, commercial, and institutional buildings.
  • C. Calle Córdoba
    Calle Córdoba is a street in Mexico City’s Roma neighborhood, known for its mix of historic architecture, trendy cafes, and vibrant urban life.
  • D. Calle de Ortega y Gasset
    Calle de Ortega y Gasset is an upscale shopping and residential street in Madrid, Spain, known for its luxury boutiques and elegant urban setting.
  • E. Calle de Felipe IV
    Calle de Felipe IV is a central street in Madrid, Spain, situated near major cultural landmarks such as the Prado Museum and the Retiro Park.
  • F. None of above. chosen

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44231e29881909695a33aab1d49a2 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.