Triple

T15625766
Position Surface form Disambiguated ID Type / Status
Subject Eska E375671 entity
Predicate sibling P363 FINISHED
Object Desna E1092829 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: Desna | Statement: [Eska, sibling, Desna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Desna
Context triple: [Eska, sibling, Desna]
  • A. Desna
    Desna is a major river in Russia and Ukraine that flows southward to join the Dnieper, playing an important role in the region’s hydrology and history.
  • 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. Desna River chosen
    The Desna River is a major tributary of the Dnieper in Eastern Europe, flowing through parts of Russia and Ukraine and historically associated with the Severian lands.
  • D. Vukosava
    Vukosava is known in Serbian medieval history as the mother of Saint Prince Lazar, the revered ruler and martyr of the Battle of Kosovo.
  • E. Drino River
    The Drino River is a river in southern Albania that flows through Gjirokastër County and is a tributary of the Vjosë River.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf2567c81909ab6054ade27afac completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 4:14 a.m.