Triple

T12125347
Position Surface form Disambiguated ID Type / Status
Subject Uhrovec E288796 entity
Predicate hasNameInLanguage P15 FINISHED
Object Uhrovec@sk E288796 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: Uhrovec@sk | Statement: [Uhrovec, hasNameInLanguage, Uhrovec@sk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uhrovec@sk
Context triple: [Uhrovec, hasNameInLanguage, Uhrovec@sk]
  • A. Uhrovec chosen
    Uhrovec is a village in western Slovakia known as the birthplace of prominent political figures including Alexander Dubček.
  • B. Hronov
    Hronov is a small town in the Hradec Králové Region of the Czech Republic, known as the birthplace of writer Alois Jirásek and for its traditional cultural events.
  • C. Uherka
    Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
  • D. Hlohov
    Hlohov is the Czech name for the Polish city of Głogów, a historic town in Lower Silesia known for its medieval heritage and strategic location on the Oder River.
  • E. Ostredok
    Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9157b2a9881908ec0e58cf438fce0 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f686d6c08190b1f1ca2d5a51f5df completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.