Triple

T1102915
Position Surface form Disambiguated ID Type / Status
Subject Artemisa Province E25420 entity
Predicate hasMunicipality P847 FINISHED
Object Guanajay E27220 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: Guanajay | Statement: [Artemisa Province, hasMunicipality, Guanajay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guanajay
Context triple: [Artemisa Province, hasMunicipality, Guanajay]
  • A. Guanajay chosen
    Guanajay is a town and municipality in western Cuba known historically as an agricultural and commercial center near Havana.
  • B. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • C. Loíza
    Loíza is a coastal municipality in Puerto Rico known for its rich Afro-Puerto Rican culture, traditional Bomba music and dance, and vibrant religious and folk festivals.
  • D. San Ignacio
    San Ignacio is a popular inland town in western Belize known as a cultural hub and gateway to nearby Maya archaeological sites and rainforest adventures.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c375848190baec4d534f489616 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a058b88190beb883bf35377316 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:43 p.m.