Triple

T20846290
Position Surface form Disambiguated ID Type / Status
Subject Balatonalmádi District E513233 entity
Predicate hasSettlement P1068 FINISHED
Object Balatonkenese 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: Balatonkenese | Statement: [Balatonalmádi District, hasSettlement, Balatonkenese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balatonkenese
Context triple: [Balatonalmádi District, hasSettlement, Balatonkenese]
  • A. Balatonkenese chosen
    Balatonkenese is a small Hungarian town on the northeastern shore of Lake Balaton, known as a lakeside resort and holiday destination.
  • B. Balatoni út
    Balatoni út is a major road in Budapest, Hungary, that runs through the city’s southern districts and provides access toward Lake Balaton and nearby attractions such as Memento Park (Szoborpark).
  • C. Liskamm
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • D. Baltanás
    Baltanás is a small municipality in northern Spain known for its traditional Castilian architecture and rural agricultural character.
  • E. Kösseine
    Kösseine is a prominent granite mountain in northeastern Bavaria, Germany, known for its scenic views and hiking trails within the Fichtel Mountains.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34ffb588190881953a0480b29a8 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.