Triple

T17298905
Position Surface form Disambiguated ID Type / Status
Subject Anton Bernolák E419986 entity
Predicate placeOfBirth P1 FINISHED
Object Slanica E1180203 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: Slanica | Statement: [Anton Bernolák, placeOfBirth, Slanica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slanica
Context triple: [Anton Bernolák, placeOfBirth, Slanica]
  • A. Slanica chosen
    Slanica was a former Slovak village in the Orava region that was submerged during the creation of the Orava Reservoir, with only its church preserved on an island as a memorial.
  • B. Slaná
    Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
  • C. Solkan
    Solkan is a settlement in western Slovenia, known for its historic stone railway bridge over the Soča River and its proximity to the town of Nova Gorica.
  • D. Bjelolasica
    Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f8efb481908b56172c7f749b62 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180da5b808190857c51aaa2e85339 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:41 a.m.