Triple

T8231230
Position Surface form Disambiguated ID Type / Status
Subject Oriente Province, Cuba E192296 entity
Predicate contains P35 FINISHED
Object Niquero E682079 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: Niquero | Statement: [Oriente Province, Cuba, contains, Niquero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niquero
Context triple: [Oriente Province, Cuba, contains, Niquero]
  • A. Niquero chosen
    Niquero is a coastal town and municipality in Granma Province, Cuba, known for its historical role in the Cuban Revolution and proximity to important coastal and natural areas.
  • B. Porvenir
    Porvenir is a small town that serves as the capital of Pando Department in northern Bolivia, near the border with Brazil.
  • C. Porvenir
    Porvenir is a small Chilean town on Tierra del Fuego that serves as an important fishing and service port on the Strait of Magellan.
  • D. Aculco
    Aculco is a Mexico City Metro station located in the eastern part of the city, serving local commuters on Line 8.
  • E. Carso
    Carso is a limestone plateau region in northeastern Italy and southwestern Slovenia, known for its distinctive karst landscapes, caves, and sinkholes.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7824a6c48190a3abb76c4c3dcc71 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34e77fd08190a76f81de96d4e605 completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.