Triple

T1015330
Position Surface form Disambiguated ID Type / Status
Subject Antonio José de Sucre E21916 entity
Predicate namedAfter P63 FINISHED
Object Sucre State
Sucre State is a coastal state in northeastern Venezuela known for its Caribbean beaches, fishing industry, and colonial heritage.
 E128838 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: Sucre State | Statement: [Antonio José de Sucre, namedAfter, Sucre State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sucre State
Context triple: [Antonio José de Sucre, namedAfter, Sucre State]
  • A. Bolívar Province
    Bolívar Province is an inland administrative region in central Ecuador, known for its Andean highland landscapes and agricultural economy.
  • B. de Sucre
    De Sucre is the surname of Antonio José de Sucre, a prominent Venezuelan independence leader and close ally of Simón Bolívar.
  • C. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • D. Cochabamba
    Cochabamba is a major city in central Bolivia known for its mild climate, agricultural productivity, and role as an important economic and cultural center.
  • E. Sucre
    Sucre is the constitutional capital of Bolivia, known for its well-preserved colonial architecture and historical significance in the country’s independence.
  • 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: Sucre State
Triple: [Antonio José de Sucre, namedAfter, Sucre State]
Generated description
Sucre State is a coastal state in northeastern Venezuela known for its Caribbean beaches, fishing industry, and colonial heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sucre State
Target entity description: Sucre State is a coastal state in northeastern Venezuela known for its Caribbean beaches, fishing industry, and colonial heritage.
  • A. Bolívar Province
    Bolívar Province is an inland administrative region in central Ecuador, known for its Andean highland landscapes and agricultural economy.
  • B. de Sucre
    De Sucre is the surname of Antonio José de Sucre, a prominent Venezuelan independence leader and close ally of Simón Bolívar.
  • C. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • D. Cochabamba
    Cochabamba is a major city in central Bolivia known for its mild climate, agricultural productivity, and role as an important economic and cultural center.
  • E. Sucre
    Sucre is the constitutional capital of Bolivia, known for its well-preserved colonial architecture and historical significance in the country’s independence.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c05060819083c51717874074c8 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5381e020819094e02c3d20acab95 completed March 7, 2026, 4:34 p.m.
NEDg Description generation batch_69ac5562cfcc8190a360429aef88f159 completed March 7, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac55b9aae48190b35546b87eb82cd9 completed March 7, 2026, 4:43 p.m.
Created at: March 1, 2026, 7:41 p.m.