Triple

T16404099
Position Surface form Disambiguated ID Type / Status
Subject Masaya Department E398379 entity
Predicate contains P35 FINISHED
Object Masaya city E87318 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: Masaya city | Statement: [Masaya Department, contains, Masaya city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masaya city
Context triple: [Masaya Department, contains, Masaya city]
  • A. Masaya, Nicaragua chosen
    Masaya is a city in western Nicaragua known for its active Masaya Volcano, traditional handicrafts, and vibrant cultural festivals.
  • B. Masaya Department
    Masaya Department is an administrative region in western Nicaragua known for its active Masaya Volcano, traditional handicrafts, and cultural festivals.
  • C. 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.
  • D. Santa Tecla
    Santa Tecla is a city in El Salvador known as a suburban and commercial hub of the San Salvador metropolitan area, situated on the slopes of the San Salvador Volcano.
  • E. Masaya Volcano
    Masaya Volcano is an active stratovolcano in western Nicaragua known for its persistent lava lake and easily accessible crater within Masaya Volcano National Park.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d12dc08190a5b497692b667ed7 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457baed48190b559af7c0ac2711d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.