Triple

T14368022
Position Surface form Disambiguated ID Type / Status
Subject Budapest Metro Line 2 E356284 entity
Predicate hasStation P35 FINISHED
Object Batthyány tér E373603 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: Batthyány tér | Statement: [Budapest Metro Line 2, hasStation, Batthyány tér]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batthyány tér
Context triple: [Budapest Metro Line 2, hasStation, Batthyány tér]
  • A. Batthyány tér chosen
    Batthyány tér is a prominent square and transport hub on the Buda side of central Budapest, situated along the Danube with notable views of the Parliament building.
  • B. Nagyvárad tér
    Nagyvárad tér is a metro station in Budapest that serves the city’s public transportation network on one of its main lines.
  • C. Széll Kálmán tér
    Széll Kálmán tér is a major public square and key transport hub in Budapest, serving as an interchange for metro, tram, and bus lines on the Buda side of the city.
  • D. Szent György tér
    Szent György tér is a historic square within Budapest’s Buda Castle District, known for its royal palace surroundings and panoramic views over the city.
  • E. 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.
  • 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_69fe729c439481909dac86ed6f5d6411 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:15 a.m.