Triple

T33679792
Position Surface form Disambiguated ID Type / Status
Subject Norefjell E862862 entity
Predicate hasOlympicHistory P177645 FINISHED
Object 1952 Winter Olympics alpine events venue 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: 1952 Winter Olympics alpine events venue | Statement: [Norefjell, hasOlympicHistory, 1952 Winter Olympics alpine events venue]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOlympicHistory
Context triple: [Norefjell, hasOlympicHistory, 1952 Winter Olympics alpine events venue]
  • A. hasOlympicLegacy
    Indicates that something has a lasting impact, influence, or heritage resulting from its association with the Olympic Games.
  • B. hasOlympians
    Indicates that an entity includes, is associated with, or contains one or more Olympian participants or members.
  • C. hasOlympicCountry
    Indicates that an entity is associated with or represents a specific country in the context of the Olympic Games.
  • D. OlympicGamesParticipated
    Indicates that an entity has taken part as a competitor in one or more editions of the Olympic Games.
  • E. OlympicStatus
    Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
  • 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_69f34985885c8190914322f492e04703 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7009d39508190af7301f824615e88 completed May 3, 2026, 8 a.m.
PD Predicate disambiguation batch_69f6fc5740fc81909774a4f65201a3ff completed May 3, 2026, 7:42 a.m.
PDg Predicate description generation batch_69f6ffb7554881908993d6d2ffbcf8f5 completed May 3, 2026, 7:56 a.m.
Created at: May 1, 2026, 1:43 a.m.