Triple

T14865468
Position Surface form Disambiguated ID Type / Status
Subject Ferenciek tere E349604 entity
Predicate near P350 FINISHED
Object Váci utca E352208 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: Váci utca | Statement: [Ferenciek tere, near, Váci utca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Váci utca
Context triple: [Ferenciek tere, near, Váci utca]
  • A. 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.
  • B. Váci Street chosen
    Váci Street is one of Budapest’s main pedestrian shopping streets, known for its historic architecture, boutiques, cafés, and tourist-oriented atmosphere in the city center.
  • C. Baross utca
    Baross utca is a notable street in Budapest, Hungary, running through the central Józsefváros district and known for its mix of residential buildings, shops, and historic urban character.
  • D. 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.
  • E. 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.
  • 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_69feb7d554808190a0a87d9f5e225d31 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 1:55 a.m.