Triple

T26557304
Position Surface form Disambiguated ID Type / Status
Subject Heeresgebirgsschule Fulpmes E666144 entity
Predicate terrainTypeOfTrainingArea P9701 FINISHED
Object high mountain environment 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: high mountain environment | Statement: [Heeresgebirgsschule Fulpmes, terrainTypeOfTrainingArea, high mountain environment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: terrainTypeOfTrainingArea
Context triple: [Heeresgebirgsschule Fulpmes, terrainTypeOfTrainingArea, high mountain environment]
  • A. terrainFeature
    Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
  • B. landscapeType chosen
    Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
  • C. terrainSpecialization
    Indicates a relationship where an entity is particularly adapted or optimized for operation, performance, or use within a specific type of terrain.
  • D. hasBeginnerTerrain
    Indicates that something provides or includes terrain or areas suitable for beginners.
  • E. hasPrimaryTerrain
    Indicates that an entity’s main or dominant type of terrain or land surface is a specified terrain category.
  • 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_69ee9cf7e94481909f0d556b36e43572 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6146709fc81909851677f0cd4e2d7 completed May 2, 2026, 3:12 p.m.
PD Predicate disambiguation batch_69f60b89cc048190a9feb24466006be0 completed May 2, 2026, 2:34 p.m.
Created at: April 27, 2026, 1:50 a.m.