Triple

T12734997
Position Surface form Disambiguated ID Type / Status
Subject Veľká Fatra National Park E304338 entity
Predicate highestPoint P210 FINISHED
Object Ostredok E335808 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: Ostredok | Statement: [Veľká Fatra National Park, highestPoint, Ostredok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostredok
Context triple: [Veľká Fatra National Park, highestPoint, Ostredok]
  • A. Ostredok chosen
    Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
  • B. Petržalka
    Petržalka is a densely populated borough of Bratislava, Slovakia, known for its extensive panel housing estates and location on the right bank of the Danube River.
  • C. Náchod
    Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
  • D. Ostredky
    Ostredky is a residential neighborhood within the Ružinov borough of Bratislava, Slovakia.
  • E. Podyjí
    Podyjí is a protected national park area in the Czech Republic known for its deep Dyje River valley, diverse ecosystems, and well-preserved natural landscapes.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646b3ca08190b239f0736a01169d completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb388488190a30866e9a7a0bc41 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:26 p.m.