Triple

T20815949
Position Surface form Disambiguated ID Type / Status
Subject Balatonfüred District E512436 entity
Predicate namedAfter P63 FINISHED
Object Balatonfüred 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: Balatonfüred | Statement: [Balatonfüred District, namedAfter, Balatonfüred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balatonfüred
Context triple: [Balatonfüred District, namedAfter, Balatonfüred]
  • A. Balatonfüred chosen
    Balatonfüred is a historic Hungarian resort town and spa destination on the northern shore of Lake Balaton, known for its promenades, sailing, and mineral springs.
  • B. Balatonudvari
    Balatonudvari is a small village in Hungary located near the northern shore of Lake Balaton, known for its scenic surroundings and traditional lakeside character.
  • C. Balatonfűzfő
    Balatonfűzfő is a small Hungarian town on the northern shore of Lake Balaton, known for its lakeside recreation and industrial history.
  • D. Balatonlelle
    Balatonlelle is a popular Hungarian holiday town on the southern shore of Lake Balaton, known for its beaches, family-friendly attractions, and lakeside resorts.
  • E. Balatonalmádi
    Balatonalmádi is a popular Hungarian resort town on the northern shore of Lake Balaton, known for its beaches, holiday facilities, and scenic surroundings.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f3473c81908c43a2ec242b1acd completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.