Triple

T8231181
Position Surface form Disambiguated ID Type / Status
Subject Granma E192295 entity
Predicate arrivalProvince P1522 FINISHED
Object Oriente Province E147541 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 Province | Statement: [Granma, arrivalProvince, Oriente Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oriente Province
Context triple: [Granma, arrivalProvince, Oriente Province]
  • A. Oriente Province chosen
    Oriente Province was a former large administrative region in eastern Cuba that included major cities like Santiago de Cuba before being subdivided into smaller provinces in 1976.
  • B. Oriente Province
    Oriente Province is an administrative subdivision in the Cundinamarca Department of Colombia that encompasses municipalities such as Cáqueza.
  • C. Canta Province
    Canta Province is an administrative subdivision in the highlands of central Peru, known for its Andean landscapes and rural communities within the Lima Region.
  • D. Shefa Province
    Shefa Province is an administrative region of Vanuatu in the South Pacific that includes the nation’s capital city, Port Vila, on the island of Efate.
  • E. Ichilo Province
    Ichilo Province is an administrative subdivision in the northern part of Bolivia’s Santa Cruz Department, known for its tropical lowlands and agricultural 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78035b488190bfd6b6c5d7b7c002 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.