Triple

T18197512
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Jinotega E435699 entity
Predicate cityServed P82 FINISHED
Object Jinotega 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: Jinotega | Statement: [Roman Catholic Diocese of Jinotega, cityServed, Jinotega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinotega
Context triple: [Roman Catholic Diocese of Jinotega, cityServed, Jinotega]
  • A. Jinotega chosen
    Jinotega is a city in northern Nicaragua known for its mountainous terrain and major coffee production.
  • B. Apure
    Apure is a largely rural state in southwestern Venezuela known for its vast Llanos plains, cattle ranching, and rich river systems along the Orinoco basin.
  • C. Alto de Menegua
    Alto de Menegua is a geographic landmark in Colombia’s Meta Department, known as a scenic plains area near Puerto López often associated with the country’s geographic center.
  • D. Moxos
    Moxos is a historical region in the Bolivian lowlands, known for its indigenous cultures, extensive pre-Columbian earthworks, and rich Amazonian wetlands.
  • E. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d47f1c819082eec59492497797 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.