Triple

T23057980
Position Surface form Disambiguated ID Type / Status
Subject Sit E574212 entity
Predicate hasNearbyIsland P970 FINISHED
Object Piškera NE NERFINISHED

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: Piškera | Statement: [Sit, hasNearbyIsland, Piškera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piškera
Context triple: [Sit, hasNearbyIsland, Piškera]
  • A. Piškera chosen
    Piškera is a small, uninhabited island in Croatia’s Kornati archipelago, known for its rugged coastline and clear Adriatic waters.
  • B. Klicpera
    Klicpera is a Czech surname most notably borne by the 19th-century playwright Václav Kliment Klicpera, a key figure in early Czech drama and literature.
  • C. Petráček
    Petráček is a Czech surname most notably borne by Vojtěch Petráček, a Czech physicist and academic.
  • D. Paroubek
    Paroubek is a Czech surname most notably associated with Jiří Paroubek, a former Prime Minister of the Czech Republic.
  • E. Kasparek
    Kasparek is a German-language surname of Central European origin borne by various notable individuals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18681bec48190a8226b3d89d19b9f completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:55 p.m.