Triple
T527777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada men's national ice hockey team |
E10959
|
entity |
| Predicate | firstWorldChampionshipAppearanceYear |
P5827
|
FINISHED |
| Object | 1920 |
—
|
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: 1920 | Statement: [Canada men's national ice hockey team, firstWorldChampionshipAppearanceYear, 1920]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWorldChampionshipAppearanceYear Context triple: [Canada men's national ice hockey team, firstWorldChampionshipAppearanceYear, 1920]
-
A.
worldChampionshipDebut
chosen
Indicates the event or occasion on which an entity first appeared or participated in a world championship.
-
B.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
-
C.
debutYear
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
D.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
E.
firstWorldSeriesChampionship
Indicates that the subject entity won its first World Series championship title in the referenced season or event.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d2851c81908129f7da932ab7b3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f01ac3ec8190a94a05955532c7fa |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.