Triple

T10994610
Position Surface form Disambiguated ID Type / Status
Subject Mikael Hakkarainen E259829 entity
Predicate playedForTeam P2168 FINISHED
Object Ilves E475082 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: Ilves | Statement: [Mikael Hakkarainen, playedForTeam, Ilves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilves
Context triple: [Mikael Hakkarainen, playedForTeam, Ilves]
  • A. Ilves chosen
    Ilves is a prominent Finnish sports club from Tampere best known for its ice hockey team competing in the country’s top professional league.
  • B. HIFK Helsinki
    HIFK Helsinki is a prominent professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and traditional teams in the Liiga.
  • C. Jokerit
    Jokerit is a professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and popular teams.
  • D. Vaasan Sport
    Vaasan Sport is a Finnish professional ice hockey club based in the city of Vaasa that competes in the country’s top leagues.
  • E. Joensuu Wolves
    Joensuu Wolves is a sports club based in Joensuu, Finland, best known for representing the city in competitive team sports.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d59ebc8190baff1f50bdc46c1b completed April 9, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3451451988190add2762b1e1be8ed completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:24 p.m.