Triple

T23132555
Position Surface form Disambiguated ID Type / Status
Subject Ustroń E577212 entity
Predicate near P350 FINISHED
Object Wisła 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: Wisła | Statement: [Ustroń, near, Wisła]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wisła
Context triple: [Ustroń, near, Wisła]
  • A. Wisła chosen
    Wisła is a popular mountain town and resort in southern Poland, known as the source of the Vistula River and a center for skiing and hiking tourism.
  • B. Krzyworzeka River
    Krzyworzeka River is a minor river in southern Poland that serves as one of the tributaries feeding into the Raba River.
  • C. Vistula River
    The Vistula River is Poland’s longest and most important river, flowing from the Carpathian Mountains to the Baltic Sea and passing through major cities such as Kraków and Warsaw.
  • D. Bóbr River
    The Bóbr River is a major river in southwestern Poland that flows through the Sudetes and Lower Silesia before joining the Oder.
  • E. Dunajec River
    The Dunajec River is a picturesque river in southern Poland and northern Slovakia, renowned for its scenic gorge and popular rafting routes through the Pieniny Mountains.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e88909881908c695cd7d39d380c completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.