Triple

T2648356
Position Surface form Disambiguated ID Type / Status
Subject Guaynabo E53835 entity
Predicate hasDemonym P191 FINISHED
Object Guaynabeño
Guaynabeño is the Spanish demonym for a person from the municipality of Guaynabo in Puerto Rico.
E286312 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: Guaynabeño | Statement: [Guaynabo, hasDemonym, Guaynabeño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guaynabeño
Context triple: [Guaynabo, hasDemonym, Guaynabeño]
  • A. Cajiqueño
    Cajiqueño is the Spanish demonym for a person from the Colombian municipality of Cajicá.
  • B. Garifuna
    Garifuna is an Arawakan language spoken by the Garifuna people of Central America, particularly along the Caribbean coasts of Honduras, Belize, Guatemala, and Nicaragua.
  • C. Bayamo
    Bayamo is one of Cuba’s oldest colonial cities, historically significant as an early Spanish settlement and a center of Cuban independence sentiment.
  • D. Aibonito
    Aibonito is a mountainous municipality in central Puerto Rico known for its cool climate and flower festival.
  • E. Dominican
    Dominican refers to a person from Dominica, an island nation in the Caribbean known for its lush rainforests and volcanic landscapes.
  • 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: Guaynabeño
Triple: [Guaynabo, hasDemonym, Guaynabeño]
Generated description
Guaynabeño is the Spanish demonym for a person from the municipality of Guaynabo in Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guaynabeño
Target entity description: Guaynabeño is the Spanish demonym for a person from the municipality of Guaynabo in Puerto Rico.
  • A. Cajiqueño
    Cajiqueño is the Spanish demonym for a person from the Colombian municipality of Cajicá.
  • B. Garifuna
    Garifuna is an Arawakan language spoken by the Garifuna people of Central America, particularly along the Caribbean coasts of Honduras, Belize, Guatemala, and Nicaragua.
  • C. Bayamo
    Bayamo is one of Cuba’s oldest colonial cities, historically significant as an early Spanish settlement and a center of Cuban independence sentiment.
  • D. Aibonito
    Aibonito is a mountainous municipality in central Puerto Rico known for its cool climate and flower festival.
  • E. Dominican
    Dominican refers to a person from Dominica, an island nation in the Caribbean known for its lush rainforests and volcanic landscapes.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91b4b3c81908571e85a1621dfc5 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c944548190a8dbe9b81045e97b completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af99fcd7348190b7e99d58ce9c363a completed March 10, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_69af9a5938b48190820f37f2e2280438 completed March 10, 2026, 4:13 a.m.
Created at: March 6, 2026, 9:53 p.m.