Triple

T11703785
Position Surface form Disambiguated ID Type / Status
Subject Žitný ostrov E278189 entity
Predicate borderedBy P224 FINISHED
Object Malý Dunaj E492393 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: Malý Dunaj | Statement: [Žitný ostrov, borderedBy, Malý Dunaj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malý Dunaj
Context triple: [Žitný ostrov, borderedBy, Malý Dunaj]
  • A. Biały Dunajec
    Biały Dunajec is a mountain river in southern Poland that flows through the Podhale region in the Tatra foothills.
  • B. 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.
  • C. Dyje
    The Dyje is a major river in Central Europe that flows through the Czech Republic and Austria, forming part of their border and contributing significantly to the Morava River basin.
  • D. Czarny Dunajec
    Czarny Dunajec is a village and municipality in southern Poland’s Podhale region, known for its traditional highland culture and proximity to the Tatra Mountains.
  • E. Nitra River chosen
    The Nitra River is a significant river in western Slovakia that flows through several towns and agricultural regions before joining the Váh 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4713ee6e48190ab1860b9899b7b48 completed May 1, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:40 p.m.