Triple

T11421506
Position Surface form Disambiguated ID Type / Status
Subject Isla E270631 entity
Predicate orthographicVariant P33995 FINISHED
Object De la Isla
De la Isla is a Spanish surname or place name variant typically referring to someone or something originating from or associated with an island.
E924520 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: De la Isla | Statement: [Isla, orthographicVariant, De la Isla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De la Isla
Context triple: [Isla, orthographicVariant, De la Isla]
  • A. Del Valle
    Del Valle is a centrally located, middle- to upper-class residential and commercial neighborhood in Mexico City known for its quiet streets, parks, and urban amenities.
  • B. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • C. Piñero
    Piñero is a 2001 biographical drama film in which Benjamin Bratt portrays the life and turbulent career of Nuyorican poet and playwright Miguel Piñero.
  • D. de Valdés
    de Valdés is a Spanish surname historically associated with notable figures in politics, religion, and the arts.
  • E. Santamaría
    Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
  • 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: De la Isla
Triple: [Isla, orthographicVariant, De la Isla]
Generated description
De la Isla is a Spanish surname or place name variant typically referring to someone or something originating from or associated with an island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De la Isla
Target entity description: De la Isla is a Spanish surname or place name variant typically referring to someone or something originating from or associated with an island.
  • A. Del Valle
    Del Valle is a centrally located, middle- to upper-class residential and commercial neighborhood in Mexico City known for its quiet streets, parks, and urban amenities.
  • B. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • C. Piñero
    Piñero is a 2001 biographical drama film in which Benjamin Bratt portrays the life and turbulent career of Nuyorican poet and playwright Miguel Piñero.
  • D. de Valdés
    de Valdés is a Spanish surname historically associated with notable figures in politics, religion, and the arts.
  • E. Santamaría
    Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b88f80d88190b91b63d0b7457c25 completed April 20, 2026, 5:24 a.m.
NEDg Description generation batch_69e5c28d3824819097ff84cb4e13c923 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c451c6c88190bcbb1f54ede35d29 completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:34 p.m.