Triple

T15998789
Position Surface form Disambiguated ID Type / Status
Subject Oksana Baiul E388043 entity
Predicate familyName P18 FINISHED
Object Baiul E388043 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: Baiul | Statement: [Oksana Baiul, familyName, Baiul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baiul
Context triple: [Oksana Baiul, familyName, Baiul]
  • A. Baiul chosen
    Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
  • B. Bistrita
    Bistrița is a historic city in northern Romania, known for its medieval architecture and role as a cultural and economic center of the Transylvania region.
  • C. Bârsana
    Bârsana is a village in northern Romania renowned for its wooden monastery complex, a notable example of traditional Maramureș architecture and a UNESCO-listed heritage site.
  • D. Vaslui
    Vaslui is a city in eastern Romania, serving as the capital of Vaslui County and known for its historical significance in the Moldavia region.
  • E. Cumbarjua
    Cumbarjua is a legislative assembly constituency located in the North Goa district of the Indian state of Goa.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157893ebc8190acb75ee05e450fae completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d99ca08190a3d07a0802b1b24a completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.