Triple

T6931732
Position Surface form Disambiguated ID Type / Status
Subject Torreón de Álvar Fáñez E160449 entity
Predicate locatedOnStreet P959 FINISHED
Object Calle Madrid
Calle Madrid is a street in Guadalajara, Spain, known for hosting the historic medieval tower Torreón de Álvar Fáñez.
E679514 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: Calle Madrid | Statement: [Torreón de Álvar Fáñez, locatedOnStreet, Calle Madrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calle Madrid
Context triple: [Torreón de Álvar Fáñez, locatedOnStreet, Calle Madrid]
  • A. 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.
  • B. Calle Teatinos
    Calle Teatinos is a street situated in the historic center of Málaga, Spain, near the prominent Plaza de la Constitución.
  • C. Calle Hidalgo
    Calle Hidalgo is a central street in Guadalajara, Jalisco, Mexico, known for running past key civic landmarks including the Palacio de Gobierno de Jalisco in the historic city center.
  • D. Calle Venezuela
    Calle Venezuela is a street located close to Quito’s historic Plaza de la Independencia in Ecuador’s capital city.
  • E. Calle de Esparteros
    Calle de Esparteros is a street in central Madrid, Spain, located near the historic Calle Mayor and close to the city’s main landmarks.
  • 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: Calle Madrid
Triple: [Torreón de Álvar Fáñez, locatedOnStreet, Calle Madrid]
Generated description
Calle Madrid is a street in Guadalajara, Spain, known for hosting the historic medieval tower Torreón de Álvar Fáñez.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Calle Madrid
Target entity description: Calle Madrid is a street in Guadalajara, Spain, known for hosting the historic medieval tower Torreón de Álvar Fáñez.
  • A. 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.
  • B. Calle Teatinos
    Calle Teatinos is a street situated in the historic center of Málaga, Spain, near the prominent Plaza de la Constitución.
  • C. Calle Hidalgo
    Calle Hidalgo is a central street in Guadalajara, Jalisco, Mexico, known for running past key civic landmarks including the Palacio de Gobierno de Jalisco in the historic city center.
  • D. Calle Venezuela
    Calle Venezuela is a street located close to Quito’s historic Plaza de la Independencia in Ecuador’s capital city.
  • E. Calle de Esparteros
    Calle de Esparteros is a street in central Madrid, Spain, located near the historic Calle Mayor and close to the city’s main landmarks.
  • 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da3e58f08190857c14f538448039 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a543fb08190ad72c0a1f9927122 completed March 29, 2026, 3:19 a.m.
NEDg Description generation batch_69c89bc8a66481909bcdd0d2b5ff501a completed March 29, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69c89ca54a3c819085d479c2b70ee61b completed March 29, 2026, 3:29 a.m.
Created at: March 27, 2026, 2:27 p.m.