Triple

T7285694
Position Surface form Disambiguated ID Type / Status
Subject Arrecife E163859 entity
Predicate demographicsLabel P2263 FINISHED
Object Arrecifeños
Arrecifeños are the inhabitants of Arrecife, the capital city of Lanzarote in Spain’s Canary Islands.
 E653390 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: Arrecifeños | Statement: [Arrecife, demographicsLabel, Arrecifeños]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arrecifeños
Context triple: [Arrecife, demographicsLabel, Arrecifeños]
  • A. El Carmen
    El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
  • B. San Andrés y Sauces
    San Andrés y Sauces is a coastal municipality on the northeastern side of the island of La Palma in Spain’s Canary Islands, known for its lush landscapes and banana plantations.
  • C. San Blas
    San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
  • D. Colonia del Carmen
    Colonia del Carmen is a neighborhood in Mexico City’s Coyoacán area, known for its historic character and cultural landmarks such as the Casa Azul (Frida Kahlo Museum).
  • E. San Blas Kuna
    San Blas Kuna is a regional dialect of the Kuna language spoken primarily by the Guna people in the San Blas (Guna Yala) region of Panama.
  • 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: Arrecifeños
Triple: [Arrecife, demographicsLabel, Arrecifeños]
Generated description
Arrecifeños are the inhabitants of Arrecife, the capital city of Lanzarote in Spain’s Canary Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arrecifeños
Target entity description: Arrecifeños are the inhabitants of Arrecife, the capital city of Lanzarote in Spain’s Canary Islands.
  • A. El Carmen
    El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
  • B. San Andrés y Sauces
    San Andrés y Sauces is a coastal municipality on the northeastern side of the island of La Palma in Spain’s Canary Islands, known for its lush landscapes and banana plantations.
  • C. San Blas
    San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
  • D. Colonia del Carmen
    Colonia del Carmen is a neighborhood in Mexico City’s Coyoacán area, known for its historic character and cultural landmarks such as the Casa Azul (Frida Kahlo Museum).
  • E. San Blas Kuna
    San Blas Kuna is a regional dialect of the Kuna language spoken primarily by the Guna people in the San Blas (Guna Yala) region of Panama.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb51a8bc8190a3e1ec09ee1aeb38 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3e1fd081908457b8202c43f64f completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dc3dd6f88190bf82d22b2cb506a4 completed March 28, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc951d88819098c6053ddd2e981b completed March 28, 2026, 1:50 p.m.
Created at: March 27, 2026, 2:59 p.m.