Triple

T22319363
Position Surface form Disambiguated ID Type / Status
Subject Emme river plain E551739 entity
Predicate hasTopographicContrastWith P112190 FINISHED
Object surrounding hills of Emmental LITERAL 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: surrounding hills of Emmental | Statement: [Emme river plain, hasTopographicContrastWith, surrounding hills of Emmental]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTopographicContrastWith
Context triple: [Emme river plain, hasTopographicContrastWith, surrounding hills of Emmental]
  • A. topographicallyContrastedWith chosen
    Indicates that two geographic areas are compared or distinguished based on differences in their physical surface features or terrain.
  • B. hasTopographicEffect
    Indicates that one entity causes or contributes to a change or influence on the physical terrain or topography of another entity or area.
  • C. hasTopographicContext
    Indicates that one entity is related to or characterized by a particular topographic or physical landscape context.
  • D. topographicSignificance
    Indicates the degree to which a geographic feature stands out or is prominent in the surrounding terrain based on its elevation and relief.
  • E. topographyBasedOn
    Indicates that the topographical characteristics of one entity are derived from, determined by, or modeled using the topography of another entity.
  • F. None of above.

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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15762fac08190a6a514baffbbbca1 completed April 29, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e73004d9e88190bb862319a5aea06b completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:42 p.m.