Triple

T12594874
Position Surface form Disambiguated ID Type / Status
Subject Belarusian literature E300706 entity
Predicate notableAuthor P4290 FINISHED
Object Yanka Kupala E960816 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: Yanka Kupala | Statement: [Belarusian literature, notableAuthor, Yanka Kupala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanka Kupala
Context triple: [Belarusian literature, notableAuthor, Yanka Kupala]
  • A. Yanka Kupala chosen
    Yanka Kupala was a prominent Belarusian poet and playwright, regarded as one of the founders of modern Belarusian literature.
  • B. Sventsyany
    Sventsyany is a town in present-day Lithuania historically known by its Polish name Święciany and notable for its multicultural heritage.
  • C. Maychew
    Maychew is a town in northern Ethiopia known as a local commercial and administrative center within the Tigray highlands.
  • D. Zhmigrod
    Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
  • E. Reyvroz
    Reyvroz is a small commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cde3c0819094e74413d6dcf548 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec49af881908abb948567b82b74 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:08 p.m.