Triple

T14310081
Position Surface form Disambiguated ID Type / Status
Subject Petőfi Sándor Street E354802 entity
Predicate near P350 FINISHED
Object Váci Street 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 Street | Statement: [Petőfi Sándor Street, near, Váci Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Váci Street
Context triple: [Petőfi Sándor Street, near, Váci Street]
  • 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. Szent György Street
    Szent György Street is a historic street in Budapest’s Castle District, known for its proximity to key landmarks and its role in the city’s medieval urban layout.
  • C. 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.
  • D. Andrássy Avenue
    Andrássy Avenue is a grand, historic boulevard in Budapest renowned for its elegant architecture, cultural institutions, and status as a UNESCO World Heritage Site.
  • E. Kossuth Lajos Street
    Kossuth Lajos Street is a central thoroughfare in Budapest’s historic Pest side, known for its heavy traffic, shops, and proximity to major downtown landmarks.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b26da48190a96e2f60ace51335 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7563188190b50c4413cd5dde37 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:12 a.m.