Triple

T11462833
Position Surface form Disambiguated ID Type / Status
Subject Vilna E271703 entity
Predicate hasAlternativeName P39 FINISHED
Object Wilna E271703 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: Wilna | Statement: [Vilna, hasAlternativeName, Wilna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilna
Context triple: [Vilna, hasAlternativeName, Wilna]
  • A. Wilno
    Wilno is a small rural community in eastern Ontario, Canada, known as the country's oldest Polish-Kashubian settlement.
  • B. Wilno
    Wilno is the historical Polish name for Vilnius, a major cultural and political center of the region that served as an important city in the interwar Second Polish Republic.
  • C. Vilna chosen
    Vilna is the historical name for Vilnius, the capital city of Lithuania and a major cultural and political center of the region.
  • D. Brest (Belarus)
    Brest is a city in southwestern Belarus near the Polish border, known as a major transport hub and for the historic Brest Fortress, a key World War II memorial.
  • E. Elbing
    Elbing is a historic Baltic port city, now known as Elbląg in Poland, that played a notable role in medieval trade as part of the Hanseatic commercial network.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f488248190b9f603cd31c72174 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6248d0db881909999049356f53ff6 completed April 20, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:35 p.m.