Triple
T10290238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double X |
E241342
|
entity |
| Predicate | hasWorldSeriesTitleCount |
P16282
|
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: [Double X, hasWorldSeriesTitleCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldSeriesTitleCount Context triple: [Double X, hasWorldSeriesTitleCount, 2]
-
A.
hasWorldSeriesTitle
Indicates that an entity (typically a baseball team) has won at least one World Series championship title.
-
B.
numberOfWorldSeriesTitles
chosen
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
C.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
D.
worldSeriesTitlesThroughYear
Indicates the number of World Series titles an entity has won up to and including a specified year.
-
E.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:41 a.m.