Triple

T8524013
Position Surface form Disambiguated ID Type / Status
Subject Mayabeque River E201765 entity
Predicate namedAfter P63 FINISHED
Object Mayabeque (toponym) E25671 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: Mayabeque (toponym) | Statement: [Mayabeque River, namedAfter, Mayabeque (toponym)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayabeque (toponym)
Context triple: [Mayabeque River, namedAfter, Mayabeque (toponym)]
  • A. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • B. Cayubaba
    Cayubaba is an indigenous language of Bolivia, spoken by the Cayubaba people in the Beni region and considered highly endangered.
  • C. Mayabeque Province chosen
    Mayabeque Province is a region in western Cuba created in 2011 when the former La Habana Province was split into two new provinces.
  • D. Jalapa
    Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
  • E. Mayaimi
    Mayaimi refers to a Native American people who historically inhabited the region around Lake Okeechobee in present-day Florida.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe64362c88190b978a2544eec6e3e completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e9219108190979430a4308fc4c5 completed April 2, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:16 p.m.