Triple

T14867525
Position Surface form Disambiguated ID Type / Status
Subject Deák Ferenc tér E349654 entity
Predicate locatedNear P294 FINISHED
Object Bajcsy-Zsilinszky út E1119456 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: Bajcsy-Zsilinszky út | Statement: [Deák Ferenc tér, locatedNear, Bajcsy-Zsilinszky út]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bajcsy-Zsilinszky út
Context triple: [Deák Ferenc tér, locatedNear, Bajcsy-Zsilinszky út]
  • A. Bajcsy-Zsilinszky út chosen
    Bajcsy-Zsilinszky út is a major avenue in central Budapest, Hungary, known for its historic buildings and role as an important traffic and commercial corridor.
  • B. Pozsonyi út
    Pozsonyi út is a prominent, café-lined boulevard in Budapest’s Újlipótváros neighborhood, known for its literary atmosphere and proximity to the Danube.
  • C. Rákóczi út
    Rákóczi út is one of Budapest’s main historic boulevards, serving as a key traffic artery and commercial street through the former Pest side of the city.
  • D. Teréz körút
    Teréz körút is a major boulevard in central Budapest, Hungary, forming part of the city’s Grand Boulevard and lined with shops, cafés, and historic buildings.
  • E. Nádor utca
    Nádor utca is a central street in Budapest, Hungary, known for hosting institutions such as the former campus of Central European University and various historic buildings.
  • 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_69ffc3aeb59c8190a39ccb4df7815ed0 completed May 9, 2026, 11:30 p.m.
Created at: April 10, 2026, 1:55 a.m.