Triple

T2418522
Position Surface form Disambiguated ID Type / Status
Subject Dorado E52362 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Vega Alta
Vega Alta is a coastal municipality in northern Puerto Rico known for its beaches, agricultural areas, and proximity to the San Juan metropolitan region.
E265244 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: Vega Alta | Statement: [Dorado, hasNeighboringMunicipality, Vega Alta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vega Alta
Context triple: [Dorado, hasNeighboringMunicipality, Vega Alta]
  • A. Guamo
    Guamo is a municipality and agricultural town in central Colombia’s Tolima Department, known for its warm climate and regional farming economy.
  • B. Picota
    Picota is a notable locality in the mountainous Monchique region of southern Portugal, known for its scenic rural landscape and proximity to the Serra de Monchique.
  • C. Calimete
    Calimete is a rural municipality in western Cuba known for its agricultural activities within Matanzas Province.
  • D. Granadina
    Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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: Vega Alta
Triple: [Dorado, hasNeighboringMunicipality, Vega Alta]
Generated description
Vega Alta is a coastal municipality in northern Puerto Rico known for its beaches, agricultural areas, and proximity to the San Juan metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vega Alta
Target entity description: Vega Alta is a coastal municipality in northern Puerto Rico known for its beaches, agricultural areas, and proximity to the San Juan metropolitan region.
  • A. Guamo
    Guamo is a municipality and agricultural town in central Colombia’s Tolima Department, known for its warm climate and regional farming economy.
  • B. Picota
    Picota is a notable locality in the mountainous Monchique region of southern Portugal, known for its scenic rural landscape and proximity to the Serra de Monchique.
  • C. Calimete
    Calimete is a rural municipality in western Cuba known for its agricultural activities within Matanzas Province.
  • D. Granadina
    Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc950516c8190989591673de6b1f7 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf5397508190b755e522060041c0 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec3cf3d8881908d0e5d72f625634c completed March 9, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69aec488a4448190b2e9bf40a0fea5ee completed March 9, 2026, 1 p.m.
Created at: March 6, 2026, 9:42 p.m.