Triple
T35859624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1938 World Series |
E1036908
|
entity |
| Predicate | yankeesTotalWorldSeriesTitlesAfterSeries |
P104962
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [1938 World Series, yankeesTotalWorldSeriesTitlesAfterSeries, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yankeesTotalWorldSeriesTitlesAfterSeries Context triple: [1938 World Series, yankeesTotalWorldSeriesTitlesAfterSeries, 7]
-
A.
YankeesTitlesAfterSeries
chosen
Indicates the number of World Series titles the Yankees have won after a specified series or point in time.
-
B.
YankeesConsecutiveTitles
Indicates that the New York Yankees won championship titles in consecutive seasons.
-
C.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
D.
YankeesGamesWon
Indicates the number of games that the New York Yankees have won.
-
E.
winnerFranchiseWorldSeriesTitlesAfterSeries
Indicates that a franchise is recognized as the winner of the World Series and the number of World Series titles it holds after that specific series.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.