Triple

T15750284
Position Surface form Disambiguated ID Type / Status
Subject Orava Reservoir E381825 entity
Predicate nearbySettlement P350 FINISHED
Object Námestovo E180148 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: Námestovo | Statement: [Orava Reservoir, nearbySettlement, Námestovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Námestovo
Context triple: [Orava Reservoir, nearbySettlement, 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 (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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002d966ffc8190aa0d9d3abf8ad593 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 4:47 a.m.