Triple

T22399589
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Cariaco E553721 entity
Predicate hasCityOnShore P969 FINISHED
Object Cumaná NE NERFINISHED

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: Cumaná | Statement: [Gulf of Cariaco, hasCityOnShore, Cumaná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumaná
Context triple: [Gulf of Cariaco, hasCityOnShore, Cumaná]
  • A. Cumaná chosen
    Cumaná is a historic coastal city in northeastern Venezuela, recognized as one of the oldest continuously inhabited European-founded settlements in the Americas.
  • B. Tacuarembó
    Tacuarembó is a city in northern Uruguay that serves as the capital of Tacuarembó Department and a regional center for culture, education, and services.
  • C. Guaratiba
    Guaratiba is a coastal neighborhood in the western part of Rio de Janeiro known for its mangrove ecosystems, beaches, and relatively preserved natural areas.
  • D. Paysandú
    Paysandú is a major city in western Uruguay known as an important industrial and port center near the Argentine border.
  • E. Santa Cruz de la Sierra
    Santa Cruz de la Sierra is Bolivia’s largest and most populous city, a major economic hub in the country’s eastern lowlands known for its rapid growth and vibrant commercial activity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b28e58819090624f131ce63a9f completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.