Triple

T14148096
Position Surface form Disambiguated ID Type / Status
Subject District V (Budapest) E350604 entity
Predicate contains P35 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: [District V (Budapest), contains, Váci utca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Váci utca
Context triple: [District V (Budapest), contains, Váci utca]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Balassi Bálint Street
    Balassi Bálint Street is a central street in Budapest, Hungary, located near the Parliament and the Danube in the city’s government district.
  • E. Kazinczy Street
    Kazinczy Street is a popular street in Budapest known for its vibrant nightlife, ruin pubs, and cultural venues.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324531c88190abab2092d1f7145d completed May 8, 2026, 12:45 a.m.
Created at: April 10, 2026, 12:55 a.m.