Triple
T1501500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Major League Baseball season |
E33804
|
entity |
| Predicate | allStarGameScore |
P29394
|
FINISHED |
| Object | American League 3–0 National League |
—
|
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: American League 3–0 National League | Statement: [2013 Major League Baseball season, allStarGameScore, American League 3–0 National League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allStarGameScore Context triple: [2013 Major League Baseball season, allStarGameScore, American League 3–0 National League]
-
A.
allStarGame
Indicates that an entity participated in, was selected for, or is otherwise associated with an All-Star Game event.
-
B.
allStarGameName
Indicates the specific name or title assigned to an All-Star Game event associated with an entity.
-
C.
allStarSelectionCount
Indicates the number of times an entity has been selected as an All-Star.
-
D.
allStarForward
Indicates that an entity serves as a forward in a sport and has been recognized as an all-star at that position.
-
E.
allStarAppearances
Indicates the number of times an entity has been selected to participate in an All-Star event or game.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
| PDg | Predicate description generation | batch_69a90582f2548190bc0a6bdcd6d9d015 |
completed | March 5, 2026, 4:24 a.m. |
Created at: March 4, 2026, 7:24 p.m.