Triple

T19002195
Position Surface form Disambiguated ID Type / Status
Subject Petr Nečas E464981 entity
Predicate familyName P18 FINISHED
Object Nečas 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: Nečas | Statement: [Petr Nečas, familyName, Nečas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nečas
Context triple: [Petr Nečas, familyName, Nečas]
  • A. Nečas chosen
    Nečas is a Czech surname most notably borne by Petr Nečas, a former Prime Minister of the Czech Republic.
  • B. Nečujam
    Nečujam is a small coastal village and popular holiday resort on the island of Šolta in Croatia, known for its tranquil bays and clear Adriatic waters.
  • C. Pozniaky
    Pozniaky is a Kyiv Metro station on the Syretsko–Pecherska line serving the Pozniaky residential district on the city's left bank.
  • D. Nagode
    "Nagode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and blend of contemporary and African musical elements.
  • E. Čekanice
    Čekanice is a village in the Czech Republic known as the birthplace of the prominent 19th-century architect and restorer Josef Mocker.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d687cb2081909bf3ac761e292f22 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.