Triple

T5618621
Position Surface form Disambiguated ID Type / Status
Subject Oriente Province E147541 entity
Predicate historicalRegionName P28982 FINISHED
Object Oriente E127925 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: Oriente | Statement: [Oriente Province, historicalRegionName, Oriente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oriente
Context triple: [Oriente Province, historicalRegionName, Oriente]
  • A. Orient
    Orient is a small coastal hamlet on the North Fork of Long Island in New York, known for its historic charm and waterfront setting.
  • B. Orient
    Orient is a themed section of the Worlds of Fun amusement park inspired by Asian cultures and architecture.
  • C. Oriente region chosen
    The Oriente region is a historical area in eastern Cuba known for its mountainous terrain, rich Afro-Cuban culture, and key role in the Cuban Revolution.
  • D. Oosteinde
    Oosteinde is a small village in the Dutch municipality of De Wolden in the province of Drenthe.
  • E. Eordaia
    Eordaia is a municipality in northern Greece, located in the Kozani regional unit of Western Macedonia and known for its energy production and lignite mining activities.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021dd5d0081909d18d16596fac507 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d55b95c8190a5f3e2c05249c136 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:40 p.m.