Triple

T4343126
Position Surface form Disambiguated ID Type / Status
Subject Managua Department E97833 entity
Predicate containsMunicipality P852 FINISHED
Object Managua Municipality E17545 NE FINISHED

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: [Managua Department, containsMunicipality, Managua Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Managua Municipality
Context triple: [Managua Department, containsMunicipality, 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. Masaya Department
    Masaya Department is an administrative region in western Nicaragua known for its active Masaya Volcano, traditional handicrafts, and cultural festivals.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35188e71c8190a3e82fa8d959de94 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ca65948190b435ecc30190a0e4 completed March 14, 2026, 11:56 p.m.
Created at: March 12, 2026, 11:14 p.m.