Triple

T14964508
Position Surface form Disambiguated ID Type / Status
Subject VI District of Budapest E373153 entity
Predicate contains P35 FINISHED
Object Teréz körút E862791 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: Teréz körút | Statement: [VI District of Budapest, contains, Teréz körút]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teréz körút
Context triple: [VI District of Budapest, contains, Teréz körút]
  • A. Teréz körút chosen
    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.
  • 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. 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.
  • D. 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.
  • E. 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.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6d0487c8190b7754af8c5014b37 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46436048190b79d1d18a179617b completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 2:45 a.m.