Triple

T13961717
Position Surface form Disambiguated ID Type / Status
Subject Fačkovské sedlo E335809 entity
Predicate locatedNear P294 FINISHED
Object Čičmany E381827 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: Čičmany | Statement: [Fačkovské sedlo, locatedNear, Čičmany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Čičmany
Context triple: [Fačkovské sedlo, locatedNear, Čičmany]
  • A. Čičmany chosen
    Čičmany is a Slovak village famous for its distinctive wooden houses decorated with traditional white geometric folk patterns, making it a popular cultural and architectural attraction.
  • B. Malý Choč
    Malý Choč is a notable peak in northern Slovakia known for its scenic views within the Choč mountain range.
  • C. Chrudimka
    Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
  • D. Janče
    Janče is a small mountain village located within North Macedonia’s Mavrovo National Park, known for its traditional architecture and scenic natural surroundings.
  • E. Krompachy
    Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7c73d48190b8e02971b5a8ed5f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d6b2e88190b4d2237413f509ee completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.