Triple

T12595379
Position Surface form Disambiguated ID Type / Status
Subject Jasná Nízke Tatry E300717 entity
Predicate alsoKnownAs P39 FINISHED
Object Jasná E997437 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: Jasná | Statement: [Jasná Nízke Tatry, alsoKnownAs, Jasná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasná
Context triple: [Jasná Nízke Tatry, alsoKnownAs, Jasná]
  • A. Jasná chosen
    Jasná is a major ski and mountain resort area in Slovakia’s Low Tatras, renowned for its extensive slopes and outdoor recreation opportunities.
  • B. Lesná
    Lesná is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
  • C. Pezinok
    Pezinok is a historic wine-producing town in western Slovakia known for its vineyards, wine festivals, and proximity to the Little Carpathians.
  • D. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • E. Vodňany
    Vodňany is a small historic town in the South Bohemian Region of the Czech Republic, known for its traditional fishpond farming and picturesque rural character.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cf33b88190bff339fcd3142cc8 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d8b8d081908f271e75e6472914 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:08 p.m.