Triple

T6033261
Position Surface form Disambiguated ID Type / Status
Subject Western Cuba E134356 entity
Predicate majorCity P316 FINISHED
Object Artemisa E127196 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: Artemisa | Statement: [Western Cuba, majorCity, Artemisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artemisa
Context triple: [Western Cuba, majorCity, Artemisa]
  • A. Artemisa chosen
    Artemisa is a Cuban city that serves as the administrative and economic center of Artemisa Province.
  • B. Celestún
    Celestún is a small coastal town in the Mexican state of Yucatán, known for its beaches, fishing community, and as a gateway to nearby flamingo-filled wetlands and nature reserves.
  • C. Carina
    Carina is a prominent southern constellation best known for containing Canopus, the second-brightest star in the night sky.
  • D. Carina
    Carina is a feminine given name used in various cultures, often associated with meanings like “beloved” or “dear.”
  • E. Eleuthia
    Eleuthia is an alternate name for Eileithyia, the ancient Greek goddess associated primarily with childbirth and labor.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b220608190b156be95632cf3b3 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113855ad08190b9ff826a2f39c356 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.