Triple
T660296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2009 World Series |
E11737
|
entity |
| Predicate | PhilliesConsecutivePennants |
P18188
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [2009 World Series, PhilliesConsecutivePennants, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PhilliesConsecutivePennants Context triple: [2009 World Series, PhilliesConsecutivePennants, 2]
-
A.
PhilliesWorldSeriesTitlesBefore
Indicates that the subject (typically a year or event) occurs before the Philadelphia Phillies won a specified number of World Series titles.
-
B.
TigersConsecutiveALPennants
Indicates that the Detroit Tigers baseball team won American League pennants in consecutive seasons without interruption.
-
C.
BostonRedSoxConsecutiveTitles
Indicates that the Boston Red Sox baseball team won championship titles in consecutive seasons without interruption.
-
D.
mostPennantsTeam
Indicates that the subject is the team that has won the greatest number of league pennants within a specified context or league.
-
E.
gameCountWonByPittsburghPirates
Indicates the number of games that were won by the Pittsburgh Pirates.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d1406ec8190abf546549264c85d |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a4a0f405748190ba72a9cfe946a8ec |
completed | March 1, 2026, 8:26 p.m. |
Created at: March 1, 2026, 7:36 p.m.