Triple

T23457316
Position Surface form Disambiguated ID Type / Status
Subject Santa Catalina, Bolívar E567962 entity
Predicate hasName P744 FINISHED
Object Santa Catalina 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: Santa Catalina | Statement: [Santa Catalina, Bolívar, hasName, Santa Catalina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Catalina
Context triple: [Santa Catalina, Bolívar, hasName, Santa Catalina]
  • A. Santa Catalina
    Santa Catalina is a Christian saint, most commonly referring to Saint Catherine of Alexandria or Saint Catherine of Siena, venerated for her piety, wisdom, and martyrdom or theological influence.
  • B. Santa Catalina
    Santa Catalina was a Spanish expedition ship associated with the Santa Cruz colony during the era of New World exploration.
  • C. Santa Catalina chosen
    Santa Catalina is a municipality and town located in the Bolívar Department of northern Colombia, known for its Caribbean coastal setting and traditional rural character.
  • D. Santa Catalina
    Santa Catalina is a small, remote island in the Solomon Islands’ Makira-Ulawa Province, known for its traditional culture and relatively untouched natural environment.
  • E. Santa Catalina
    Santa Catalina is a neighborhood located within the Diez de Octubre municipality of Havana, Cuba.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a6980d4481909fab47cb5bd28eab completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.