Triple

T16858675
Position Surface form Disambiguated ID Type / Status
Subject Moratalaz E409852 entity
Predicate hasNeighborhood P40 FINISHED
Object Horcajo
Horcajo is a residential neighborhood within the Moratalaz district of Madrid, Spain.
 E1236796 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: Horcajo | Statement: [Moratalaz, hasNeighborhood, Horcajo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Horcajo
Context triple: [Moratalaz, hasNeighborhood, Horcajo]
  • A. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • B. Vásquez
    Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
  • C. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • D. Herrero
    Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
  • E. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • 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: Horcajo
Triple: [Moratalaz, hasNeighborhood, Horcajo]
Generated description
Horcajo is a residential neighborhood within the Moratalaz district of Madrid, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Horcajo
Target entity description: Horcajo is a residential neighborhood within the Moratalaz district of Madrid, Spain.
  • A. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • B. Vásquez
    Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
  • C. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • D. Herrero
    Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
  • E. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37ef4748190b149d98fc0ab4205 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb25300c8190a352037c21c244bd completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbc80d54819092de4ee363508b49 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc633abc8190a86808986ba294ec completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:24 a.m.