Triple

T1269684
Position Surface form Disambiguated ID Type / Status
Subject Granada E15680 entity
Predicate demonym P191 FINISHED
Object Granadina
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
 E145100 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: Granadina | Statement: [Granada, demonym, Granadina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Granadina
Context triple: [Granada, demonym, Granadina]
  • A. Caimito
    Caimito is a municipality in western Cuba known for its agricultural activities and proximity to Havana.
  • B. Naran
    Naran is a popular mountain resort town and tourist destination in northern Pakistan, known for its scenic valleys, rivers, and access to sites like Lake Saif-ul-Malook.
  • C. Samborondón
    Samborondón is a rapidly growing, affluent canton and town in coastal Ecuador, located across the river from Guayaquil and known for its upscale residential and commercial developments.
  • D. Canela
    Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
  • E. Sopó
    Sopó is a small municipality in the department of Cundinamarca, Colombia, known for its scenic Andean landscapes and dairy production.
  • 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: Granadina
Triple: [Granada, demonym, Granadina]
Generated description
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Granadina
Target entity description: Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • A. Caimito
    Caimito is a municipality in western Cuba known for its agricultural activities and proximity to Havana.
  • B. Naran
    Naran is a popular mountain resort town and tourist destination in northern Pakistan, known for its scenic valleys, rivers, and access to sites like Lake Saif-ul-Malook.
  • C. Samborondón
    Samborondón is a rapidly growing, affluent canton and town in coastal Ecuador, located across the river from Guayaquil and known for its upscale residential and commercial developments.
  • D. Canela
    Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
  • E. Sopó
    Sopó is a small municipality in the department of Cundinamarca, Colombia, known for its scenic Andean landscapes and dairy production.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c0691d70819088e57c78ff34af1e completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac99898bdc8190bbbe28083b4a548b completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9abcc2ec8190acdec5d7cbf42b42 completed March 7, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69ac9b1ea9c48190ad1520f2f67111dd completed March 7, 2026, 9:39 p.m.
Created at: March 1, 2026, 7:50 p.m.