Triple

T13846409
Position Surface form Disambiguated ID Type / Status
Subject Hron River E332816 entity
Predicate flowsThrough P225 FINISHED
Object Levice E284980 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: Levice | Statement: [Hron River, flowsThrough, Levice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levice
Context triple: [Hron River, flowsThrough, Levice]
  • A. Levice chosen
    Levice is a town in southern Slovakia known as a regional center with historical architecture and nearby castle ruins.
  • B. Považská Bystrica
    Považská Bystrica is a town in northwestern Slovakia known as an industrial center situated in a valley surrounded by the Strážov Mountains.
  • C. Levice District
    Levice District is an administrative district in the Nitra Region of southern Slovakia, known for its agricultural landscape and the town of Levice as its economic and cultural center.
  • D. Trenčín
    Trenčín is a historic city in western Slovakia known for its medieval castle overlooking the Váh River and its role as a regional cultural and economic center.
  • E. Topoľčany
    Topoľčany is a town in western Slovakia known as the birthplace of several notable Slovak ice hockey players, including Miroslav Šatan.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d196d88190a8fa54468b2de1bb completed May 9, 2026, 9:43 a.m.
Created at: April 9, 2026, 10:13 p.m.