Triple

T3447588
Position Surface form Disambiguated ID Type / Status
Subject Buda Hills E72713 entity
Predicate contains P35 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: [Buda Hills, contains, János Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: János Hill
Context triple: [Buda Hills, contains, 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. 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.
  • C. János Schulek
    János Schulek was a Hungarian architect best known for his neo-Gothic and neo-Romanesque restorations and designs in Budapest around the turn of the 20th century.
  • D. János Gálicz
    János Gálicz was a Hungarian-born military officer who served as a commander in the International Brigades during the Spanish Civil War.
  • E. László Weisz
    László Weisz, better known as László Moholy-Nagy, was a pioneering Hungarian modernist artist and influential Bauhaus teacher renowned for his experimental work in photography, typography, and industrial design.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba705d988190b76d905751a337ee completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373a7da208190a8a9ad5ede8d4f0f completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:16 p.m.