Triple

T14897238
Position Surface form Disambiguated ID Type / Status
Subject Cumaná Province E359908 entity
Predicate capital P234 FINISHED
Object Cumaná E135297 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: Cumaná | Statement: [Cumaná Province, capital, Cumaná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumaná
Context triple: [Cumaná Province, capital, 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 (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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6084574819098033a9723f3e1c4 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b11584819084f32516cb0023a1 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:11 a.m.