Triple
T6515295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Louis Cardinals |
E148241
|
entity |
| Predicate | worldSeriesTitlesThroughYear |
P71324
|
FINISHED |
| Object | 2023 |
—
|
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: 2023 | Statement: [St. Louis Cardinals, worldSeriesTitlesThroughYear, 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldSeriesTitlesThroughYear Context triple: [St. Louis Cardinals, worldSeriesTitlesThroughYear, 2023]
-
A.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
B.
worldSeriesTitleYear
Indicates the year in which a particular World Series title was won.
-
C.
WorldSeriesChampionYears
Indicates the years in which a given team (or entity) won the World Series championship.
-
D.
WorldSeriesChampionships
Indicates the number of World Series championship titles that an entity (typically a baseball team or franchise) has won.
-
E.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0d395081908fe6b1f9a912f095 |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:44 p.m.