Triple

T15220509
Position Surface form Disambiguated ID Type / Status
Subject Port of Guiria E363753 entity
Predicate countrySubdivision P766 FINISHED
Object Estado Sucre E128838 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: Estado Sucre | Statement: [Port of Guiria, countrySubdivision, Estado Sucre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estado Sucre
Context triple: [Port of Guiria, countrySubdivision, Estado Sucre]
  • A. Sucre State chosen
    Sucre State is a coastal state in northeastern Venezuela known for its Caribbean beaches, fishing industry, and colonial heritage.
  • B. Sucre Province
    Sucre Province is an administrative province located within Peru’s Ayacucho Region, known for its Andean geography and rural communities.
  • C. San Cristobal Province
    San Cristobal Province is the former name of Makira-Ulawa Province, an island province in the Solomon Islands known for its rich biodiversity and predominantly rural communities.
  • D. Falcón state
    Falcón state is a coastal region in northwestern Venezuela known for its colonial architecture, arid landscapes, and significant Afro-Venezuelan cultural presence.
  • E. Sucre Department
    Sucre Department is an administrative region in northern Colombia, known for its Caribbean coastline, agricultural economy, and capital city Sincelejo.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007709d3881908384f0fe1e0218d0 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5ebb8d48190b4afc540da8e6a4b completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:12 a.m.