Triple

T8524030
Position Surface form Disambiguated ID Type / Status
Subject Mayabeque River E201765 entity
Predicate isInhabitedPlaceNearby P61362 FINISHED
Object Güines E67571 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: Güines | Statement: [Mayabeque River, isInhabitedPlaceNearby, Güines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Güines
Context triple: [Mayabeque River, isInhabitedPlaceNearby, Güines]
  • A. Güines chosen
    Güines is a town and municipality in western Cuba known historically as an important agricultural and sugar-producing center southeast of Havana.
  • B. Grenada
    Grenada is a small Caribbean island nation known for its spice production, picturesque beaches, and lush mountainous interior.
  • C. San Cristóbal
    San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
  • D. San Cristóbal
    San Cristóbal is a municipality in western Cuba located within Artemisa Province.
  • E. San Cristóbal
    San Cristóbal is an active stratovolcano in northwestern Nicaragua and one of the most prominent and frequently erupting volcanoes in the Central American region.
  • 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_69cc4578d9c8819096b3853d01c3ec11 completed March 31, 2026, 10:06 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.