Triple
T25601926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2003–04 NHL season |
E641809
|
entity |
| Predicate | reasonAllStarGameNotPlayed |
P166586
|
FINISHED |
| Object | 2004 NHL World Cup scheduling |
—
|
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: 2004 NHL World Cup scheduling | Statement: [2003–04 NHL season, reasonAllStarGameNotPlayed, 2004 NHL World Cup scheduling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonAllStarGameNotPlayed Context triple: [2003–04 NHL season, reasonAllStarGameNotPlayed, 2004 NHL World Cup scheduling]
-
A.
didNotPlayInTournament
Indicates that the specified entity did not participate as a player in the referenced tournament.
-
B.
playedWithout
Indicates that one participant engaged in a play-related activity while another expected or relevant participant was absent or not involved.
-
C.
refused to play for
Indicates that one party declined or rejected participating or performing on behalf of another party, typically in a team, organization, or representative role.
-
D.
hasNotWonTournament
Indicates that an entity has not achieved victory in a specified tournament.
-
E.
homeTeamKeyPlayerAbsentReason
Indicates the reason why a key player from the home team is absent.
- F. None of above. chosen
Provenance (4 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f662a29b3881909957a7e3b986653c |
completed | May 2, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 21, 2026, 4:31 p.m.