Triple

T12754410
Position Surface form Disambiguated ID Type / Status
Subject Lučenec E304819 entity
Predicate hasRailConnectionTo P848 FINISHED
Object Zvolen E290995 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: Zvolen | Statement: [Lučenec, hasRailConnectionTo, Zvolen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zvolen
Context triple: [Lučenec, hasRailConnectionTo, Zvolen]
  • A. Zvolen chosen
    Zvolen is a historic town in central Slovakia known for its medieval castle and role as a regional transport and cultural hub.
  • B. Vác
    Vác is a historic town on the Danube in northern Hungary, known for its Baroque architecture and role as a regional cultural and religious center.
  • C. Námestovo
    Námestovo is a town in northern Slovakia near the Orava Reservoir, known as a local tourist and cultural center in the Orava region.
  • D. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • E. Želiezovce
    Želiezovce is a small town in southern Slovakia known for its agricultural surroundings and historical settlement in the Nitra Region.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac73848481909303e833041ebc90 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 5:27 p.m.