Triple

T16858674
Position Surface form Disambiguated ID Type / Status
Subject Moratalaz E409852 entity
Predicate hasNeighborhood P40 FINISHED
Object Pavones
Pavones is a residential neighborhood in the Moratalaz district of Madrid, Spain.
 E1236795 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: Pavones | Statement: [Moratalaz, hasNeighborhood, Pavones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pavones
Context triple: [Moratalaz, hasNeighborhood, Pavones]
  • A. Huaquillas
    Huaquillas is a border city in southwestern Ecuador known as a key commercial and transit point between Ecuador and Peru.
  • B. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • C. Tucana
    Tucana is a small, southern-sky constellation best known for containing most of the Small Magellanic Cloud and the globular cluster 47 Tucanae.
  • D. Patos
    Patos is a municipality in the state of Paraíba in northeastern Brazil, known as a regional commercial and service center in the semi-arid hinterland.
  • E. Pangallo
    Pangallo is an Italian-origin surname borne by individuals such as American politician Dominick Pangallo.
  • 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: Pavones
Triple: [Moratalaz, hasNeighborhood, Pavones]
Generated description
Pavones is a residential neighborhood in the Moratalaz district of Madrid, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pavones
Target entity description: Pavones is a residential neighborhood in the Moratalaz district of Madrid, Spain.
  • A. Huaquillas
    Huaquillas is a border city in southwestern Ecuador known as a key commercial and transit point between Ecuador and Peru.
  • B. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • C. Tucana
    Tucana is a small, southern-sky constellation best known for containing most of the Small Magellanic Cloud and the globular cluster 47 Tucanae.
  • D. Patos
    Patos is a municipality in the state of Paraíba in northeastern Brazil, known as a regional commercial and service center in the semi-arid hinterland.
  • E. Pangallo
    Pangallo is an Italian-origin surname borne by individuals such as American politician Dominick Pangallo.
  • 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.