Triple

T20242239
Position Surface form Disambiguated ID Type / Status
Subject Cēsis E498325 entity
Predicate hasTwinTown P919 FINISHED
Object Zhovkva, Ukraine NE NERFINISHED

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: Zhovkva, Ukraine | Statement: [Cēsis, hasTwinTown, Zhovkva, Ukraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhovkva, Ukraine
Context triple: [Cēsis, hasTwinTown, Zhovkva, Ukraine]
  • A. Zhovkva chosen
    Zhovkva is a historic town in western Ukraine known for its well-preserved Renaissance architecture and multicultural heritage.
  • B. Khmelnytskyi, Ukraine
    Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and transportation center.
  • C. Okhtyrka
    Okhtyrka is a historic city in northeastern Ukraine known as one of the principal centers of the Sloboda Ukraine region.
  • D. Hlukhiv
    Hlukhiv is a historic city in northern Ukraine that served as an important political and cultural center of the Cossack Hetmanate in the 18th century.
  • E. Lviv, Ukraine
    Lviv, Ukraine is a historic city in western Ukraine known for its well-preserved medieval architecture, rich cultural life, and role as an intellectual center of the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716f9d248190a145f6883827ebbe completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.