Triple

T22751667
Position Surface form Disambiguated ID Type / Status
Subject Chamberí E562716 entity
Predicate hasNeighborhood P40 FINISHED
Object Almagro
Almagro is an upscale, historic neighborhood in central Madrid known for its elegant architecture, embassies, and cultural institutions.
 E1551601 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: Almagro | Statement: [Chamberí, hasNeighborhood, Almagro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Almagro
Context triple: [Chamberí, hasNeighborhood, Almagro]
  • A. Almagro
    Almagro is a Spanish surname borne by various notable figures, including politicians, athletes, and artists from Spanish-speaking countries.
  • B. Almagro
    Almagro is a traditional middle-class neighborhood in central Buenos Aires, Argentina, known for its historic tango culture, cafes, and densely populated residential streets.
  • C. Almagro
    Almagro is a historic town in Spain’s Ciudad Real province, renowned for its well-preserved medieval architecture and its central role in the history of the military orders of Castile.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Moncalvo
    Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
  • 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: Almagro
Triple: [Chamberí, hasNeighborhood, Almagro]
Generated description
Almagro is an upscale, historic neighborhood in central Madrid known for its elegant architecture, embassies, and cultural institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Almagro
Target entity description: Almagro is an upscale, historic neighborhood in central Madrid known for its elegant architecture, embassies, and cultural institutions.
  • A. Almagro
    Almagro is a Spanish surname borne by various notable figures, including politicians, athletes, and artists from Spanish-speaking countries.
  • B. Almagro
    Almagro is a traditional middle-class neighborhood in central Buenos Aires, Argentina, known for its historic tango culture, cafes, and densely populated residential streets.
  • C. Almagro
    Almagro is a historic town in Spain’s Ciudad Real province, renowned for its well-preserved medieval architecture and its central role in the history of the military orders of Castile.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Moncalvo
    Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b9ac348190bff4dc470931f7e3 completed April 29, 2026, 3:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fd7d2388190964a84175f034f8b completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b905d3ba48190bf73b2334b6ef3a6 completed May 18, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0b90c481cc8190acdffb0c341998ea completed May 18, 2026, 10:20 p.m.
Created at: April 17, 2026, 3:24 p.m.