Triple

T11703929
Position Surface form Disambiguated ID Type / Status
Subject Gemer E278192 entity
Predicate traversedBy P225 FINISHED
Object Slaná River E854585 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: Slaná River | Statement: [Gemer, traversedBy, Slaná River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slaná River
Context triple: [Gemer, traversedBy, Slaná River]
  • A. Slaná River chosen
    The Slaná River is a Central European river flowing through Slovakia and Hungary, known as a tributary of the Sajó and part of the Tisza River basin.
  • B. Lužnice River
    The Lužnice River is a significant river in South Bohemia, Czech Republic, known for its meandering course, natural wetlands, and popularity for canoeing and recreation.
  • C. Bystřice River
    The Bystřice River is a watercourse in the Czech Republic that flows through the historic mining town of Jáchymov in the Ore Mountains region.
  • D. Svitava River
    The Svitava River is a significant river in the eastern Czech Republic that flows through cities such as Brno before joining the Svratka River.
  • E. Žitava River
    The Žitava River is a river in southern Slovakia that flows through the Danubian Lowland before joining the Nitra 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_69f0195739348190b40a378ca227cf85 completed April 28, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:40 p.m.