Triple

T14865051
Position Surface form Disambiguated ID Type / Status
Subject Várkerület E349594 entity
Predicate hasPart P35 FINISHED
Object Tóth Árpád sétány E1081656 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: Tóth Árpád sétány | Statement: [Várkerület, hasPart, Tóth Árpád sétány]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tóth Árpád sétány
Context triple: [Várkerület, hasPart, Tóth Árpád sétány]
  • A. Tóth Árpád sétány chosen
    Tóth Árpád sétány is a scenic, tree-lined promenade along the Buda Castle walls in Budapest, known for its panoramic views over the city.
  • B. Udvar-Házy
    Udvar-Házy is the hyphenated family name of aviation businessman and philanthropist Steven F. Udvar-Házy, notably associated with the Smithsonian’s National Air and Space Museum annex that bears his name.
  • C. Tiszaföldvár
    Tiszaföldvár is a small town in eastern Hungary known for its agricultural surroundings and location near the Tisza River.
  • D. Kiskunfélegyháza
    Kiskunfélegyháza is a town in central Hungary known for its historical market-town character and location in the Great Hungarian Plain.
  • E. Pázmány
    Pázmány is a Hungarian surname most notably associated with the influential 17th-century Jesuit cardinal and statesman Péter Pázmány.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b4f224c8190bb2e06203c9b3a94 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.