Triple

T27764341
Position Surface form Disambiguated ID Type / Status
Subject EHC Arosa E701557 entity
Predicate historicallyTopTier P84360 FINISHED
Object yes 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: yes | Statement: [EHC Arosa, historicallyTopTier, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallyTopTier
Context triple: [EHC Arosa, historicallyTopTier, yes]
  • A. historicalTopCompetition chosen
    Indicates that an entity has participated in or been associated with the highest-level or most prestigious competition within a historical context.
  • B. historicallyDominantIn
    Indicates that one entity has held a position of prevailing power, influence, or control over another entity or within a particular domain during a past historical period.
  • C. historicalLevel
    Indicates the degree or extent to which something is related to, situated in, or characterized by a particular historical period or context.
  • D. historicallyPopularIn
    Indicates that something was notably popular or widely favored within a particular place or context during a past historical period.
  • E. historicalStrength
    Indicates the relative power, influence, or effectiveness an entity possessed during a specified past period.
  • 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_69ef6a52fa708190934a32308d2c92dc completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69fd7b0503a08190ba07338365b6fcc9 completed May 8, 2026, 5:56 a.m.
PD Predicate disambiguation batch_69fd7a9733dc81909199f453c0cc2bc1 completed May 8, 2026, 5:54 a.m.
Created at: April 27, 2026, 4:29 p.m.