Triple
T3617715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miro Heiskanen |
E76642
|
entity |
| Predicate | formerTeam |
P1168
|
FINISHED |
| Object | HIFK |
E66015
|
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: HIFK | Statement: [Miro Heiskanen, formerTeam, HIFK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HIFK Context triple: [Miro Heiskanen, formerTeam, HIFK]
-
A.
HIFK Helsinki
chosen
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.
-
B.
FC Honka
FC Honka is a Finnish professional football club based in Espoo that competes in the country’s top-tier league.
-
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.
Kärpät Oulu
Kärpät Oulu is a prominent Finnish professional ice hockey club from Oulu, known as one of the most successful teams in the Liiga.
-
E.
Färjestad BK
Färjestad BK is a prominent Swedish professional ice hockey club from Karlstad, known as one of the most successful teams in the Swedish Hockey League.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27dd030819083d34fee0c06612a |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331a82688190add137b1f68c955e |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.