Triple

T23098552
Position Surface form Disambiguated ID Type / Status
Subject Námestovo District E575962 entity
Predicate namedAfter P63 FINISHED
Object Námestovo 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: Námestovo | Statement: [Námestovo District, namedAfter, Námestovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Námestovo
Context triple: [Námestovo District, namedAfter, Námestovo]
  • A. Námestovo chosen
    Námestovo is a town in northern Slovakia near the Orava Reservoir, known as a local tourist and cultural center in the Orava region.
  • B. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • C. Bojnice
    Bojnice is a historic spa town in central Slovakia best known for its fairy-tale Bojnice Castle and popular zoo.
  • D. Komárno
    Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
  • E. Nové Mesto nad Váhom
    Nové Mesto nad Váhom is a town in western Slovakia known for its location in the Váh River valley and its regional administrative and economic role.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de71a088190b91918e6c4ea6e97 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.