Triple
T26069014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mann Cup |
E657487
|
entity |
| Predicate | mostChampionshipsByTeam |
P79236
|
FINISHED |
| Object | Peterborough Lakers |
—
|
NE NERFINISHED |
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: Peterborough Lakers | Statement: [Mann Cup, mostChampionshipsByTeam, Peterborough Lakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostChampionshipsByTeam Context triple: [Mann Cup, mostChampionshipsByTeam, Peterborough Lakers]
-
A.
teamChampionshipsWon
Indicates the number of championship titles that a team has won.
-
B.
mostAwardsHolderTeam
Indicates the team that holds the highest number of awards within a given set or competition.
-
C.
mostTitlesTeamTitles
chosen
Indicates that the referenced team holds the highest number of titles compared to all other teams in the specified context.
-
D.
mostDivisionTitlesTeam
Indicates that the subject team holds the record for having won the greatest number of division titles compared to all other teams.
-
E.
hasTeamsChampionship
Indicates that an entity has won at least one championship title in a teams-based competition or league.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606c91710819081f3e0187820f1e8 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:27 p.m.