Triple

T23507900
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Kaposvár E572335 entity
Predicate region P40 FINISHED
Object Somogy County 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: Somogy County | Statement: [Roman Catholic Diocese of Kaposvár, region, Somogy County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somogy County
Context triple: [Roman Catholic Diocese of Kaposvár, region, Somogy County]
  • A. Somogy County chosen
    Somogy County is an administrative region in southwestern Hungary, known for its rural landscapes and proximity to Lake Balaton.
  • B. Zólyom County
    Zólyom County was a historic administrative county of the Kingdom of Hungary, located in what is now central Slovakia around the town of Zvolen.
  • C. Fejér County
    Fejér County is an administrative region in central Hungary known for its historical significance and industrial centers, with Székesfehérvár as its county seat.
  • D. Tolna County
    Tolna County is an administrative region in central Hungary known for its agricultural landscape and location along the Danube River.
  • E. Gömör-Kishont County
    Gömör-Kishont County was a historic administrative county of the Kingdom of Hungary, located in what is today southern Slovakia and northern Hungary.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a901c9908190a781e79fe8b96743 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.