Triple

T23222790
Position Surface form Disambiguated ID Type / Status
Subject Granada Department E580936 entity
Predicate contains P35 FINISHED
Object Diriomo 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: Diriomo | Statement: [Granada Department, contains, Diriomo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diriomo
Context triple: [Granada Department, contains, Diriomo]
  • A. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • B. Diriamba chosen
    Diriamba is a city in southwestern Nicaragua known for its coffee production, colonial architecture, and traditional folkloric festivals.
  • C. Reola
    Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
  • D. Mazzanta
    Mazzanta is a coastal locality and seaside resort area within the municipality of Rosignano Marittimo in Tuscany, Italy.
  • E. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922a452c81909b48df157643f6bd completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.