Triple

T14147800
Position Surface form Disambiguated ID Type / Status
Subject Inner City of Pest E350597 entity
Predicate contains P35 FINISHED
Object Petőfi Sándor Street 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 Street | Statement: [Inner City of Pest, contains, Petőfi Sándor Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petőfi Sándor Street
Context triple: [Inner City of Pest, contains, Petőfi Sándor Street]
  • 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. 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.
  • 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. Kazinczy Street
    Kazinczy Street is a popular street in Budapest known for its vibrant nightlife, ruin pubs, and cultural venues.
  • E. Váci Street
    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.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19395924819084d78815c3f12f43 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 12:55 a.m.