Triple

T14867588
Position Surface form Disambiguated ID Type / Status
Subject Keleti pályaudvar E349655 entity
Predicate near P350 FINISHED
Object Rákóczi út E795494 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: Rákóczi út | Statement: [Keleti pályaudvar, near, Rákóczi út]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rákóczi út
Context triple: [Keleti pályaudvar, near, Rákóczi út]
  • A. Rákóczi út chosen
    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.
  • B. Bajcsy-Zsilinszky út
    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.
  • C. 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.
  • D. Tóth Árpád Promenade
    Tóth Árpád Promenade is a scenic, tree-lined walkway along the Buda Castle hill in Budapest, known for its panoramic views over the city and historic surroundings.
  • E. 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.
  • 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_69ffcf0743288190b3bec8c48b5c7893 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 1:55 a.m.