Triple
T34884700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | чемпионат мира по хоккею с шайбой 2008 |
E1006111
|
entity |
| Predicate | страна проведения |
P69452
|
FINISHED |
| Object | Канада |
—
|
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: Канада | Statement: [чемпионат мира по хоккею с шайбой 2008, страна проведения, Канада]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: страна проведения Context triple: [чемпионат мира по хоккею с шайбой 2008, страна проведения, Канада]
-
A.
countryOfVenue
Indicates the country in which the referenced venue is geographically located.
-
B.
locationCountryOfCeremony
Indicates the country in which a particular ceremony takes place or is held.
-
C.
countryOfTournament
chosen
Indicates the country in which a given tournament is held or officially hosted.
-
D.
organizerCountry
Indicates the country that serves as the organizer or host for an event, activity, or initiative.
-
E.
eventHostCountries
Indicates that the subject countries serve as hosts for a particular event or set of events.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.