Triple

T9418115
Position Surface form Disambiguated ID Type / Status
Subject Žilina Region E227080 entity
Predicate contains P35 FINISHED
Object Čadca E778916 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: Čadca | Statement: [Žilina Region, contains, Čadca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Čadca
Context triple: [Žilina Region, contains, Čadca]
  • A. Čadca chosen
    Čadca is a town in northern Slovakia near the Polish and Czech borders, known as a regional transport hub and gateway to the Kysuce region.
  • B. Chudovo
    Chudovo is a small town in northwestern Russia known for its historical ties to the Novgorod region and its location along important transportation routes between Moscow and St. Petersburg.
  • C. Malý Choč
    Malý Choč is a notable peak in northern Slovakia known for its scenic views within the Choč mountain range.
  • D. Chudniv
    Chudniv is a small urban-type settlement in northern Ukraine known for its historical role in regional trade and its location within Zhytomyr Oblast.
  • E. Kolinec
    Kolinec is a small market town in the Plzeň Region of the Czech Republic, known for its historic architecture and rural setting in the Bohemian countryside.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cd1e3481909abcb715e2398120 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107bfd73481908e07d0ee2774bd59 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.