Triple

T5685922
Position Surface form Disambiguated ID Type / Status
Subject de Sucre E125312 entity
Predicate relatedTo P37 FINISHED
Object Sucre (toponym) E34051 NE FINISHED

How this triple was built (2 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 (toponym) | Statement: [de Sucre, relatedTo, Sucre (toponym)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sucre (toponym)
Context triple: [de Sucre, relatedTo, Sucre (toponym)]
  • A. Sucre, Colombia
    Sucre, Colombia is a department on Colombia’s Caribbean coast known for its agricultural economy, coastal wetlands, and cultural traditions rooted in the broader Caribbean region.
  • 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. Sucre chosen
    Sucre is the constitutional capital of Bolivia, known for its well-preserved colonial architecture and historical significance in the country’s independence.
  • D. Sucre State
    Sucre State is a coastal state in northeastern Venezuela known for its Caribbean beaches, fishing industry, and colonial heritage.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023ba52b48190b94f8a3ecff61eb4 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a40b3808190bc57fde5990ac04e completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.