Triple

T8954285
Position Surface form Disambiguated ID Type / Status
Subject Mount Mainalo E213432 entity
Predicate hasViewOf P854 FINISHED
Object Arcadian plateau E250330 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: Arcadian plateau | Statement: [Mount Mainalo, hasViewOf, Arcadian plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcadian plateau
Context triple: [Mount Mainalo, hasViewOf, Arcadian plateau]
  • A. Roztocze plateau
    The Roztocze plateau is a picturesque upland region in southeastern Poland known for its rolling hills, forests, and protected natural landscapes.
  • B. Langres Plateau
    The Langres Plateau is a high limestone upland in northeastern France known as a major watershed that gives rise to several important rivers, including the Seine.
  • C. Feneos plateau chosen
    The Feneos plateau is a highland plain in the northern Peloponnese of Greece, known for its karstic fields, seasonal lake, and surrounding mountain scenery.
  • D. Northern Plateau
    The Northern Plateau is the arid, high-elevation northern section of the Mexican Plateau, characterized by extensive deserts, basins, and mountain ranges.
  • E. Murge plateau
    The Murge plateau is a karst limestone highland in southern Italy characterized by rolling hills, rocky terrain, and traditional rural landscapes.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6724f3e4819092c6b13d80871e80 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc21405ac8190a7129c0877ef41b0 completed April 3, 2026, 1:35 p.m.
Created at: March 30, 2026, 7 p.m.