Triple

T18893459
Position Surface form Disambiguated ID Type / Status
Subject Žilina Basin E462150 entity
Predicate contains P35 FINISHED
Object city of Žilina E218081 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: city of Žilina | Statement: [Žilina Basin, contains, city of Žilina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Žilina
Context triple: [Žilina Basin, contains, city of Žilina]
  • A. Žilina chosen
    Žilina is a city in northwestern Slovakia that serves as an important industrial and transportation hub, particularly for rail connections in the region.
  • B. Liptovské Sliače
    Liptovské Sliače is a village in the Liptov region of northern Slovakia, known for its traditional architecture and scenic mountainous surroundings.
  • C. Želiezovce
    Želiezovce is a small town in southern Slovakia known for its agricultural surroundings and historical settlement in the Nitra Region.
  • D. Liptovská Sielnica
    Liptovská Sielnica is a village in northern Slovakia’s Liptov region, known for its proximity to the Liptovská Mara reservoir and surrounding mountain scenery.
  • E. 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.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47d392c81909297211c7d7610a1 completed April 20, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0582b75c708190b8ba4cb05a475899 completed May 14, 2026, 8:07 a.m.
Created at: April 10, 2026, 11:58 a.m.