Triple

T17372265
Position Surface form Disambiguated ID Type / Status
Subject UCA E422347 entity
Predicate locatedIn P40 FINISHED
Object Managua, Nicaragua 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: Managua, Nicaragua | Statement: [UCA, locatedIn, Managua, Nicaragua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Managua, Nicaragua
Context triple: [UCA, locatedIn, Managua, Nicaragua]
  • A. Managua chosen
    Managua is the capital and largest city of Nicaragua, located on the southwestern shore of Lake Managua in Central America.
  • B. Juigalpa
    Juigalpa is a city in central Nicaragua that serves as the capital of the Chontales Department and a regional hub for agriculture and cattle ranching.
  • C. Granada, Nicaragua
    Granada, Nicaragua is a historic colonial city on the shores of Lake Nicaragua, known for its well-preserved Spanish architecture, vibrant cultural life, and role as a major tourist destination in the country.
  • D. San Salvador
    San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
  • E. Puerto Cabezas, Nicaragua
    Puerto Cabezas is a coastal city on Nicaragua’s Caribbean coast, known as a key port and cultural center for the indigenous Miskito population.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a69d93c81908ce2d909857a3a11 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.