Triple

T3263196
Position Surface form Disambiguated ID Type / Status
Subject Teemu Selänne E68459 entity
Predicate OlympicGames P7486 FINISHED
Object Turin 2006 E7778 NE 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: Turin 2006 | Statement: [Teemu Selänne, OlympicGames, Turin 2006]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turin 2006
Context triple: [Teemu Selänne, OlympicGames, Turin 2006]
  • A. Bardonecchia
    Bardonecchia is an alpine town in northwestern Italy known as a ski resort and transport hub near the French border in the Susa Valley.
  • B. Torino Olympic Park
    Torino Olympic Park is a sports and events complex in Turin, Italy, developed around venues used for the 2006 Winter Olympics and now hosting a variety of athletic and cultural activities.
  • C. Torino Porta Susa
    Torino Porta Susa is a major high-speed and regional railway hub in Turin, Italy, serving as one of the city’s principal train stations.
  • D. Cortina d'Ampezzo
    Cortina d'Ampezzo is a renowned Italian Alpine resort town in the Dolomites, famous for skiing, mountaineering, and hosting major winter sports events.
  • E. 2006 Winter Olympics chosen
    The 2006 Winter Olympics were an international multi-sport winter games held in Turin, Italy, featuring competitions in sports such as skiing, ice hockey, and figure skating.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafaa35e48190b894ca41dd65932b completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee2ec8481908a0c0f4a32c97fe0 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.