Triple

T3986240
Position Surface form Disambiguated ID Type / Status
Subject Turrialba E86878 entity
Predicate nearbyCity P350 FINISHED
Object Turrialba (city) E86878 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: Turrialba (city) | Statement: [Turrialba, nearbyCity, Turrialba (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turrialba (city)
Context triple: [Turrialba, nearbyCity, Turrialba (city)]
  • A. Masaya, Nicaragua
    Masaya is a city in western Nicaragua known for its active Masaya Volcano, traditional handicrafts, and vibrant cultural festivals.
  • B. Turrialba chosen
    Turrialba is an active stratovolcano in central Costa Rica known for its frequent eruptions and significant gas and ash emissions.
  • C. 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.
  • D. Masaya Department
    Masaya Department is an administrative region in western Nicaragua known for its active Masaya Volcano, traditional handicrafts, and cultural festivals.
  • E. San José de las Lajas
    San José de las Lajas is a Cuban city that serves as the capital of Mayabeque Province and an important agricultural and industrial center near Havana.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9fe355081909b04662ab44fe2ca completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5402bbe208190947321353c309c98 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.