Triple

T8884436
Position Surface form Disambiguated ID Type / Status
Subject Elías Wessin y Wessin E211493 entity
Predicate placeOfBirth P1 FINISHED
Object Bayaguana
Bayaguana is a historic town and municipality in the Monte Plata province of the Dominican Republic, known for its religious traditions and rural agricultural character.
 E765958 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: Bayaguana | Statement: [Elías Wessin y Wessin, placeOfBirth, Bayaguana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bayaguana
Context triple: [Elías Wessin y Wessin, placeOfBirth, Bayaguana]
  • A. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • B. Guane
    Guane is a small, historic village in Colombia’s Santander department, known for its preserved colonial architecture and tranquil rural atmosphere.
  • C. Aibonito
    Aibonito is a mountainous municipality in central Puerto Rico known for its cool climate and flower festival.
  • D. Gurabo
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • E. Guana Cay
    Guana Cay is a small, scenic Bahamian island known for its white-sand beaches, coral reefs, and laid-back resort and boating 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: Bayaguana
Triple: [Elías Wessin y Wessin, placeOfBirth, Bayaguana]
Generated description
Bayaguana is a historic town and municipality in the Monte Plata province of the Dominican Republic, known for its religious traditions and rural agricultural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bayaguana
Target entity description: Bayaguana is a historic town and municipality in the Monte Plata province of the Dominican Republic, known for its religious traditions and rural agricultural character.
  • A. Guane
    Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
  • B. Guane
    Guane is a small, historic village in Colombia’s Santander department, known for its preserved colonial architecture and tranquil rural atmosphere.
  • C. Aibonito
    Aibonito is a mountainous municipality in central Puerto Rico known for its cool climate and flower festival.
  • D. Gurabo
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • E. Guana Cay
    Guana Cay is a small, scenic Bahamian island known for its white-sand beaches, coral reefs, and laid-back resort and boating 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616cf8c48190a27b381e48f23377 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba1b1bec8190ab667a0c5dba3513 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbbf8ff388190beef5f8f1e6935c6 completed April 3, 2026, 1:09 p.m.
NED2 Entity disambiguation (via description) batch_69cfbc570c28819087bea8058c4b08a9 completed April 3, 2026, 1:10 p.m.
Created at: March 30, 2026, 6:53 p.m.