Triple

T14865465
Position Surface form Disambiguated ID Type / Status
Subject Ferenciek tere E349604 entity
Predicate isOn P1493 FINISHED
Object Petőfi Sándor utca E354802 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: Petőfi Sándor utca | Statement: [Ferenciek tere, isOn, Petőfi Sándor utca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petőfi Sándor utca
Context triple: [Ferenciek tere, isOn, Petőfi Sándor utca]
  • A. Petőfi Sándor Street chosen
    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.
  • B. Nádor utca
    Nádor utca is a central street in Budapest, Hungary, known for hosting institutions such as the former campus of Central European University and various historic buildings.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae005644819098937cedb53202c5 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 1:55 a.m.