Triple
T12879190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1978 World Series |
E308043
|
entity |
| Predicate | yankeesWorldSeriesTitleNumber |
P16282
|
FINISHED |
| Object | 22 |
—
|
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: 22 | Statement: [1978 World Series, yankeesWorldSeriesTitleNumber, 22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yankeesWorldSeriesTitleNumber Context triple: [1978 World Series, yankeesWorldSeriesTitleNumber, 22]
-
A.
YankeesConsecutiveTitles
Indicates that the New York Yankees won championship titles in consecutive seasons.
-
B.
numberOfWorldSeriesTitles
chosen
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
C.
YankeesPreviousTitle
Indicates that the subject entity is the immediately preceding championship title held by the New York Yankees before the object entity.
-
D.
YankeesTitlesAfterSeries
Indicates the number of World Series titles the Yankees have won after a specified series or point in time.
-
E.
hasWorldSeriesTitle
Indicates that an entity (typically a baseball team) has won at least one World Series championship title.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:39 p.m.