Triple

T15499182
Position Surface form Disambiguated ID Type / Status
Subject Széchenyi Hill E378903 entity
Predicate connectedTo P37 FINISHED
Object János Hill E361617 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: János Hill | Statement: [Széchenyi Hill, connectedTo, János Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: János Hill
Context triple: [Széchenyi Hill, connectedTo, János Hill]
  • A. János Hill chosen
    János Hill is the highest peak of the Buda Hills in Budapest, Hungary, known for its panoramic city views and popular hiking and lookout spots.
  • B. David Palffy
    David Palffy is a Canadian actor best known for his recurring villain roles on the science fiction television series Stargate SG-1.
  • C. János Józsa
    János Józsa is a Hungarian academic and engineer who has served as rector of the Budapest University of Technology and Economics.
  • D. Vilmos Huszár
    Vilmos Huszár was a Hungarian-born Dutch painter and designer associated with the De Stijl movement, known for his abstract, geometric compositions and contributions to modernist art and design.
  • E. Charles Molnar
    Charles Molnar was an American computer engineer best known as the co-designer of the LINC, one of the earliest minicomputers and a pioneering machine in interactive computing.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3667a53c81908be789f99e580265 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:53 a.m.