Triple
T2564503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitecaps |
E57318
|
entity |
| Predicate | hasWonLeagueChampionships |
P12322
|
FINISHED |
| Object | multiple Midwest League championships |
—
|
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: multiple Midwest League championships | Statement: [Whitecaps, hasWonLeagueChampionships, multiple Midwest League championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonLeagueChampionships Context triple: [Whitecaps, hasWonLeagueChampionships, multiple Midwest League championships]
-
A.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
B.
teamWonChampionship
Indicates that a particular team has secured victory in a championship competition.
-
C.
leagueChampionships
Indicates the number of league championship titles an entity has won.
-
D.
wonLeagueTitle
chosen
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
E.
wonLeagueCup
Indicates that a team or competitor achieved victory in a specific league cup competition or tournament.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35dce0081909fcac5ac5ad6b841 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.