Triple

T8478037
Position Surface form Disambiguated ID Type / Status
Subject Mosque of Pasha Qasim E200444 entity
Predicate locatedOn P40 FINISHED
Object Széchenyi Square E234409 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: Széchenyi Square | Statement: [Mosque of Pasha Qasim, locatedOn, Széchenyi Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Széchenyi Square
Context triple: [Mosque of Pasha Qasim, locatedOn, Széchenyi Square]
  • A. Kossuth Lajos Square
    Kossuth Lajos Square is a prominent public square in Budapest that serves as the ceremonial and symbolic foreground of the Hungarian Parliament building.
  • B. Vörösmarty Square
    Vörösmarty Square is a prominent central plaza in Budapest known for its historic architecture, bustling cafés, and role as a major cultural and commercial hub.
  • C. Kossuth Square chosen
    Kossuth Square is the central public square of Debrecen, Hungary, known for its historic architecture and role as a focal point of the city's civic and cultural life.
  • D. Liszt Ferenc Square
    Liszt Ferenc Square is a popular Budapest plaza known for its cafés, restaurants, and cultural venues, often associated with the nearby Academy of Music.
  • E. Szent György Square
    Szent György Square is a historic plaza within Buda Castle in Budapest, Hungary, surrounded by notable governmental and heritage buildings.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51ffab881908448aff899511f2c completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a196ad48190b3887a2a0c43f87f completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:12 p.m.