Triple

T14368023
Position Surface form Disambiguated ID Type / Status
Subject Budapest Metro Line 2 E356284 entity
Predicate hasStation P35 FINISHED
Object Kossuth Lajos tér E230762 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: Kossuth Lajos tér | Statement: [Budapest Metro Line 2, hasStation, Kossuth Lajos tér]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kossuth Lajos tér
Context triple: [Budapest Metro Line 2, hasStation, 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. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7563188190b50c4413cd5dde37 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:15 a.m.