Triple

T14148056
Position Surface form Disambiguated ID Type / Status
Subject District VIII (Józsefváros) E350603 entity
Predicate contains P35 FINISHED
Object Blaha Lujza tér E349604 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: Blaha Lujza tér | Statement: [District VIII (Józsefváros), contains, Blaha Lujza tér]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blaha Lujza tér
Context triple: [District VIII (Józsefváros), contains, Blaha Lujza tér]
  • A. Parádfürdő
    Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
  • B. Belá
    Belá is a mountain river in northern Slovakia known for its clear waters, dynamic flow, and popularity among whitewater enthusiasts.
  • C. Batthyány tér
    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.
  • D. Ferenciek tere chosen
    Ferenciek tere is a central square and major transport hub in Budapest, known for its historic architecture and proximity to key landmarks in the city center.
  • E. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
  • 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_69fcdf205c788190920b5055f9fe63a8 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:55 a.m.