Triple

T31714049
Position Surface form Disambiguated ID Type / Status
Subject Fellhorn/Kanzelwand ski area E809405 entity
Predicate hasSkiRunsFor P172456 FINISHED
Object beginners 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: beginners | Statement: [Fellhorn/Kanzelwand ski area, hasSkiRunsFor, beginners]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSkiRunsFor
Context triple: [Fellhorn/Kanzelwand ski area, hasSkiRunsFor, beginners]
  • A. hasSkiTrails
    Indicates that a location or facility includes one or more designated ski trails available for use.
  • B. hasSkiRunsLength_km
    Indicates the total length, in kilometers, of the ski runs associated with an entity.
  • C. hasSkiAreaAccess
    Indicates that an entity provides direct access to, or is directly connected with, a ski area or ski facilities.
  • D. hasNightSkiing
    Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
  • E. hasSkiLifts
    Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
  • F. None of above. chosen

Provenance (4 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_69f348df4e048190a4a5a9932ada78d6 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6abe15d5c81909ccf4ce37f78bc43 completed May 3, 2026, 1:58 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
PDg Predicate description generation batch_69f6aaf31a548190b2f792ff4b8c002a completed May 3, 2026, 1:54 a.m.
Created at: April 30, 2026, 11:16 p.m.