Triple

T14867800
Position Surface form Disambiguated ID Type / Status
Subject Alfréd Hajós National Swimming Stadium E349661 entity
Predicate namedAfter P63 FINISHED
Object Alfréd Hajós E100720 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: Alfréd Hajós | Statement: [Alfréd Hajós National Swimming Stadium, namedAfter, Alfréd Hajós]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfréd Hajós
Context triple: [Alfréd Hajós National Swimming Stadium, namedAfter, Alfréd Hajós]
  • A. Alfréd Hajós chosen
    Alfréd Hajós was a Hungarian swimmer and architect who became one of the first modern Olympic champions by winning multiple gold medals at the inaugural 1896 Games.
  • B. Karl Hajos
    Karl Hajos was a Hungarian-American composer best known for his film scores during the early sound era of Hollywood cinema.
  • C. Theodor Pallady
    Theodor Pallady was a Romanian painter known for his modernist style and refined still lifes and interiors, considered one of the most important Romanian artists of the early 20th century.
  • D. Laszlo Molnar
    Laszlo Molnar is a software developer and author known for creating the UPX (Ultimate Packer for Executables) executable compression tool.
  • E. Ladislas Farago
    Ladislas Farago was a Hungarian-born American military historian and intelligence expert best known for his detailed works on World War II and espionage.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5776b848190bfe3a06ff261dc31 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72aad76c8190b024651483d8f9ff completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:55 a.m.