Triple

T16110304
Position Surface form Disambiguated ID Type / Status
Subject Vukosava E390854 entity
Predicate givenName P17 FINISHED
Object Vukosava 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: Vukosava | Statement: [Vukosava, givenName, Vukosava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vukosava
Context triple: [Vukosava, givenName, Vukosava]
  • A. Vukosava chosen
    Vukosava is known in Serbian medieval history as the mother of Saint Prince Lazar, the revered ruler and martyr of the Battle of Kosovo.
  • B. Kosava
    Kosava is a small town in western Belarus known for its historic castle and as the birthplace region of Polish national hero Tadeusz Kościuszko.
  • C. Sava
    Sava is a major river in Central and Southeastern Europe that flows through countries including Slovenia, Croatia, Bosnia and Herzegovina, and Serbia before joining the Danube.
  • D. Sava
    Sava is the monastic and religious name of Saint Sava, the medieval Serbian prince-turned-monk who became the first Archbishop of the autocephalous Serbian Orthodox Church and a key figure in Serbian religious and cultural history.
  • E. Sava
    Sava is a town and comune in the Province of Taranto in the Apulia region of southern Italy, known for its wine and olive oil production.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016665c0819081aa7a44b1d08183 completed April 17, 2026, 9:46 a.m.
Created at: April 10, 2026, 5 a.m.