Triple

T8259223
Position Surface form Disambiguated ID Type / Status
Subject Boykos E193150 entity
Predicate ethnonym P4709 FINISHED
Object Boykos E193150 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: Boykos | Statement: [Boykos, ethnonym, Boykos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boykos
Context triple: [Boykos, ethnonym, Boykos]
  • A. Boykos chosen
    Boykos are a distinct East Slavic highlander ethnic group traditionally inhabiting the Carpathian Mountains region of western Ukraine and neighboring areas.
  • B. Baklanov
    Baklanov is a Russian surname most notably associated with Soviet politician and aerospace official Oleg Baklanov.
  • C. Koshovyi
    Koshovyi is a Ukrainian surname most notably associated with comedian and actor Yevhen Koshovyi.
  • D. Kobeliaky
    Kobeliaky is a historic town in central Ukraine, located in Poltava Oblast along the Vorskla River.
  • E. Solyony
    Solyony is a volatile and eccentric army officer in Anton Chekhov’s play "Three Sisters," known for his morbid humor and ultimately tragic duel.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78fe5e2c819080741ea24bae0807 completed March 31, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd355bef508190894bd01ec39e83f6 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:49 p.m.