Triple
T2616594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1906 World Series |
E58900
|
entity |
| Predicate | CubsWinningPercentage |
P42225
|
FINISHED |
| Object | .763 |
—
|
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: .763 | Statement: [1906 World Series, CubsWinningPercentage, .763]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CubsWinningPercentage Context triple: [1906 World Series, CubsWinningPercentage, .763]
-
A.
CubsManager
Indicates that the subject serves as the manager (head coach) of the Chicago Cubs baseball team.
-
B.
CubsPreviousTitle
Indicates that one entity is a previous title or designation that the other entity (the Cubs) held or was known by before its current title.
-
C.
WorldSeriesTeam
Indicates that a team participated as one of the competing teams in a given World Series.
-
D.
cubsNextWorldSeriesAppearance
Indicates the event that is the Chicago Cubs’ next appearance in a World Series following a given reference point in time.
-
E.
allTimeWinningPercentage
Indicates the proportion of contests or games an entity has won over its entire recorded history, typically expressed as a percentage.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdac82b688190886a6ec2d6e2abc7 |
completed | March 7, 2026, 7:59 a.m. |
Created at: March 6, 2026, 9:50 p.m.