Triple

T10351549
Position Surface form Disambiguated ID Type / Status
Subject Budapest VI. kerület E243892 entity
Predicate contains P35 FINISHED
Object Andrássy út E70150 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: Andrássy út | Statement: [Budapest VI. kerület, contains, Andrássy út]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrássy út
Context triple: [Budapest VI. kerület, contains, Andrássy út]
  • A. Andrássy Avenue chosen
    Andrássy Avenue is a grand, historic boulevard in Budapest renowned for its elegant architecture, cultural institutions, and status as a UNESCO World Heritage Site.
  • B. 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.
  • 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. 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. 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9489f9481908fc1c818e81c1cc2 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75095625c819082d4d0976a193e6c completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:57 a.m.