Triple

T1557957
Position Surface form Disambiguated ID Type / Status
Subject Gran Canaria E33251 entity
Predicate hasTown P847 FINISHED
Object Agaete
Agaete is a coastal town on the northwest of Gran Canaria in Spain’s Canary Islands, known for its rugged cliffs, natural pools, and traditional fishing harbor.
 E178886 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: Agaete | Statement: [Gran Canaria, hasTown, Agaete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agaete
Context triple: [Gran Canaria, hasTown, Agaete]
  • A. Minervina
    Minervina was the first wife or consort of the Roman emperor Constantine the Great, known primarily as the mother of his son Crispus.
  • B. Cornelia
    Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
  • C. Celeirós
    Celeirós is a civil parish in the municipality of Sabrosa in northern Portugal, known for its traditional Douro wine production and historic rural landscape.
  • D. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • E. Barbeya
    Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
  • 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: Agaete
Triple: [Gran Canaria, hasTown, Agaete]
Generated description
Agaete is a coastal town on the northwest of Gran Canaria in Spain’s Canary Islands, known for its rugged cliffs, natural pools, and traditional fishing harbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Agaete
Target entity description: Agaete is a coastal town on the northwest of Gran Canaria in Spain’s Canary Islands, known for its rugged cliffs, natural pools, and traditional fishing harbor.
  • A. Minervina
    Minervina was the first wife or consort of the Roman emperor Constantine the Great, known primarily as the mother of his son Crispus.
  • B. Cornelia
    Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
  • C. Celeirós
    Celeirós is a civil parish in the municipality of Sabrosa in northern Portugal, known for its traditional Douro wine production and historic rural landscape.
  • D. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • E. Barbeya
    Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401e12088190b6f0f5b0d8a423cf completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad40f485e481909e801cdd3da3c27b completed March 8, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69ad415932f4819083639af0e0836345 completed March 8, 2026, 9:28 a.m.
Created at: March 4, 2026, 7:27 p.m.