Triple

T4496746
Position Surface form Disambiguated ID Type / Status
Subject Adam Buksa E100714 entity
Predicate familyName P18 FINISHED
Object Buksa E100714 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: Buksa | Statement: [Adam Buksa, familyName, Buksa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buksa
Context triple: [Adam Buksa, familyName, Buksa]
  • A. Buksa chosen
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • B. Dubček
    Dubček is the surname of Alexander Dubček, the Slovak politician best known for leading the Prague Spring reforms in Czechoslovakia in 1968.
  • C. Bukač
    Bukač is a Czech surname most notably associated with Luděk Bukač, a prominent ice hockey coach and player.
  • D. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • E. Susak
    Susak is a small, sandy Croatian island in the Adriatic Sea known for its unique geology, distinct local dialect, and traditional folk costumes.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56bf3ff48190b3aae0136d7fce45 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67c4e7c88190b9b9cab49444b515 completed March 20, 2026, 3:29 p.m.
Created at: March 20, 2026, 1 p.m.