Triple

T6386030
Position Surface form Disambiguated ID Type / Status
Subject Sol neighborhood E143702 entity
Predicate hasNearbyNeighborhood P350 FINISHED
Object Malasaña
Malasaña is a vibrant central Madrid neighborhood known for its bohemian atmosphere, nightlife, and alternative cultural scene.
 E591455 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: Malasaña | Statement: [Sol neighborhood, hasNearbyNeighborhood, Malasaña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malasaña
Context triple: [Sol neighborhood, hasNearbyNeighborhood, Malasaña]
  • A. Belén
    Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
  • B. Lebrija
    Lebrija is a historic town and municipality in southern Spain’s Andalusia region, known for its agricultural economy and traditional flamenco culture.
  • C. Yuste
    Yuste is a locality in the Extremadura region of western Spain, best known as the retreat where Holy Roman Emperor Charles V spent his final years at the nearby Monastery of Yuste.
  • D. Almagro
    Almagro is a Spanish surname borne by various notable figures, including politicians, athletes, and artists from Spanish-speaking countries.
  • E. Alhué
    Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
  • 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: Malasaña
Triple: [Sol neighborhood, hasNearbyNeighborhood, Malasaña]
Generated description
Malasaña is a vibrant central Madrid neighborhood known for its bohemian atmosphere, nightlife, and alternative cultural scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malasaña
Target entity description: Malasaña is a vibrant central Madrid neighborhood known for its bohemian atmosphere, nightlife, and alternative cultural scene.
  • A. Belén
    Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
  • B. Lebrija
    Lebrija is a historic town and municipality in southern Spain’s Andalusia region, known for its agricultural economy and traditional flamenco culture.
  • C. Yuste
    Yuste is a locality in the Extremadura region of western Spain, best known as the retreat where Holy Roman Emperor Charles V spent his final years at the nearby Monastery of Yuste.
  • D. Almagro
    Almagro is a Spanish surname borne by various notable figures, including politicians, athletes, and artists from Spanish-speaking countries.
  • E. Alhué
    Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068688bfc8190a28918d58d0cfd2e completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6387dc8888190ba63efcc9aff41b2 completed March 27, 2026, 7:57 a.m.
NEDg Description generation batch_69c63b0165ac8190bb6001504d4abfcc completed March 27, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69c63b6373e88190b676ee85be8c06fb completed March 27, 2026, 8:10 a.m.
Created at: March 22, 2026, 4:34 p.m.