Triple

T9823506
Position Surface form Disambiguated ID Type / Status
Subject Aibonito E238594 entity
Predicate hasMunicipalBarrio P4813 FINISHED
Object Cuyón
Cuyón is a rural barrio (district) of the municipality of Aibonito in central Puerto Rico, known for its mountainous terrain and agricultural character.
E822479 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: Cuyón | Statement: [Aibonito, hasMunicipalBarrio, Cuyón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuyón
Context triple: [Aibonito, hasMunicipalBarrio, Cuyón]
  • A. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • B. Conejo
    Conejo is the surname of Luis Gabelo Conejo, a notable Costa Rican former football goalkeeper.
  • C. Carneros
    Carneros is a cool-climate wine region in California, renowned for producing high-quality Pinot Noir and Chardonnay.
  • D. Pongo
    Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
  • E. Pongo
    Pongo is the nickname of Pongo Twistleton, a comic character from P. G. Wodehouse’s stories, particularly known for his misadventures with his Uncle Fred.
  • 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: Cuyón
Triple: [Aibonito, hasMunicipalBarrio, Cuyón]
Generated description
Cuyón is a rural barrio (district) of the municipality of Aibonito in central Puerto Rico, known for its mountainous terrain and agricultural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cuyón
Target entity description: Cuyón is a rural barrio (district) of the municipality of Aibonito in central Puerto Rico, known for its mountainous terrain and agricultural character.
  • A. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • B. Conejo
    Conejo is the surname of Luis Gabelo Conejo, a notable Costa Rican former football goalkeeper.
  • C. Carneros
    Carneros is a cool-climate wine region in California, renowned for producing high-quality Pinot Noir and Chardonnay.
  • D. Pongo
    Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
  • E. Pongo
    Pongo is the nickname of Pongo Twistleton, a comic character from P. G. Wodehouse’s stories, particularly known for his misadventures with his Uncle Fred.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc810bac8190a5ff94c0717e7706 completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cd5a04fc8190a78a1459b78962b1 completed April 5, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d1cdca61d481909f3394bf593f0bfb completed April 5, 2026, 2:49 a.m.
Created at: March 30, 2026, 8:31 p.m.