Triple

T9361857
Position Surface form Disambiguated ID Type / Status
Subject Pest E225296 entity
Predicate hasMajorBoulevard P461 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: [Pest, hasMajorBoulevard, Váci utca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Váci utca
Context triple: [Pest, hasMajorBoulevard, 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. Kazinczy Street
    Kazinczy Street is a popular street in Budapest known for its vibrant nightlife, ruin pubs, and cultural venues.
  • C. 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.
  • D. Petőfi Sándor Street
    Petőfi Sándor Street is a central thoroughfare in downtown Budapest, Hungary, known for its historic buildings, shops, and proximity to major cultural and tourist attractions.
  • E. 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.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503ca7308190818f27f1faf94a53 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10788d86481908764201548f0dbdf completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:42 p.m.