Triple

T14224541
Position Surface form Disambiguated ID Type / Status
Subject Kazinczy Street Synagogue E352583 entity
Predicate streetAddress P606 FINISHED
Object Kazinczy utca E364082 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: Kazinczy utca | Statement: [Kazinczy Street Synagogue, streetAddress, Kazinczy utca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazinczy utca
Context triple: [Kazinczy Street Synagogue, streetAddress, Kazinczy utca]
  • A. 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.
  • B. Kazinczy Street chosen
    Kazinczy Street is a popular street in Budapest known for its vibrant nightlife, ruin pubs, and cultural venues.
  • C. Liszt Ferenc tér
    Liszt Ferenc tér is a popular square in central Budapest known for its lively café culture, restaurants, and proximity to the Liszt Academy of Music.
  • D. Széll Kálmán tér
    Széll Kálmán tér is a major public square and key transport hub in Budapest, serving as an interchange for metro, tram, and bus lines on the Buda side of the city.
  • E. Szent István tér
    Szent István tér is a central public square in Pécs, Hungary, known for its historic surroundings and cultural attractions.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6227c288819081473ce44f9f0934 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa0e98c81908f6b55a04cd72871 completed May 8, 2026, 7:02 a.m.
Created at: April 10, 2026, 1:06 a.m.