Triple
T7875694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spengler Cup |
E182844
|
entity |
| Predicate | isOldestInternationalClubTournament |
P79518
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Spengler Cup, isOldestInternationalClubTournament, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldestInternationalClubTournament Context triple: [Spengler Cup, isOldestInternationalClubTournament, true]
-
A.
isOldestClubIn
Indicates that a club is the most ancient or earliest-established club within a specified place or organization.
-
B.
isOldestOngoingNationalSoccerTournamentIn
Indicates that a soccer tournament is the oldest continuously held national-level soccer competition within the specified country or region.
-
C.
isOneOfOldestClubsIn
Indicates that a club ranks among the earliest-established clubs within a specified group, region, or organization.
-
D.
isOneOfOldestConferencesIn
Indicates that a conference ranks among the oldest conferences within a specified location or domain.
-
E.
hadInternationalClubCompetition
Indicates that an entity has participated in or been involved with an international club-level competition.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39aa7ca88190b88a18f6a8971e51 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:57 p.m.