Triple

T21465964
Position Surface form Disambiguated ID Type / Status
Subject Szabadság tér E529593 entity
Predicate near P350 FINISHED
Object Kossuth Lajos tér NE NERFINISHED

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: Kossuth Lajos tér | Statement: [Szabadság tér, near, Kossuth Lajos tér]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kossuth Lajos tér
Context triple: [Szabadság tér, near, Kossuth Lajos tér]
  • A. Rákóczi tér
    Rákóczi tér is a public square and transport hub in Budapest known for its central location and metro station in the Józsefváros district.
  • B. Vörösmarty tér
    Vörösmarty tér is a prominent central square in Budapest, Hungary, known for its historic cafés, shopping streets, and seasonal markets.
  • C. Kossuth Lajos Square chosen
    Kossuth Lajos Square is a prominent public square in Budapest that serves as the ceremonial and symbolic foreground of the Hungarian Parliament building.
  • D. Széchenyi István tér
    Széchenyi István tér is a prominent square in central Budapest, Hungary, known for its grand riverside location by the Danube and its surrounding historic and cultural landmarks.
  • E. Deák Ferenc tér
    Deák Ferenc tér is a major central square and key public transport hub in Budapest, serving as the main interchange point for several metro lines and other transit routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f32b5c8190bfa5acb3c9b1ab3b completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.