Triple

T18129807
Position Surface form Disambiguated ID Type / Status
Subject Tiscapa Lagoon E433978 entity
Predicate municipality P852 FINISHED
Object Managua Municipality 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 Municipality | Statement: [Tiscapa Lagoon, municipality, Managua Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Managua Municipality
Context triple: [Tiscapa Lagoon, municipality, Managua Municipality]
  • A. Managua chosen
    Managua is the capital and largest city of Nicaragua, located on the southwestern shore of Lake Managua in Central America.
  • B. Managua Department
    Managua Department is an administrative region of Nicaragua that includes the nation’s capital city, Managua, and serves as its political and economic center.
  • C. Estelí
    Estelí is a city in northern Nicaragua known for its tobacco production, cigar industry, and role as a commercial and cultural center in the region.
  • D. Matagalpa
    Matagalpa is a major city in north-central Nicaragua known for its coffee production, cool climate, and role as a regional commercial and educational hub.
  • E. Masaya Department
    Masaya Department is an administrative region in western Nicaragua known for its active Masaya Volcano, traditional handicrafts, and cultural festivals.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf11a74819094e8fe8dae4615bb completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.