Triple

T18459705
Position Surface form Disambiguated ID Type / Status
Subject Rheinbach E450998 entity
Predicate twinTown P1072 FINISHED
Object Karcag 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: Karcag | Statement: [Rheinbach, twinTown, Karcag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karcag
Context triple: [Rheinbach, twinTown, Karcag]
  • A. Karcag chosen
    Karcag is a town in eastern Hungary known for its Great Hungarian Plain agricultural traditions and historic Calvinist heritage.
  • B. Kalocsa
    Kalocsa is a historic town in southern Hungary known as an important Roman Catholic archiepiscopal center and for its traditional paprika production and folk art.
  • C. Kazincbarcika
    Kazincbarcika is an industrial town in northeastern Hungary, located in Borsod-Abaúj-Zemplén County.
  • D. Kiskőrös
    Kiskőrös is a small town in southern Hungary known as the birthplace of the national poet Sándor Petőfi and for its wine-producing region.
  • E. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7cdb5c8190a399f0e4052f7d1f completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:33 a.m.