Triple
T19804507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1970 MLB All-Star Game |
E475774
|
entity |
| Predicate | riverfrontStadiumFirstAllStarGame |
P137387
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [1970 MLB All-Star Game, riverfrontStadiumFirstAllStarGame, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverfrontStadiumFirstAllStarGame Context triple: [1970 MLB All-Star Game, riverfrontStadiumFirstAllStarGame, yes]
-
A.
hostedFirstMLBGameInCity
Indicates that the subject entity was the first to host a Major League Baseball game in the specified city.
-
B.
firstAllStarGameInCanada
Indicates that the referenced All-Star Game was the first such event ever held in Canada.
-
C.
firstHostBallpark
Indicates the ballpark where a team or player first hosted a game or event.
-
D.
firstSuperBowlInCity
Indicates that the referenced Super Bowl is the first one ever held in the specified city.
-
E.
firstSuperBowlInState
Indicates that the referenced Super Bowl is the first one ever held within the specified state.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65427546c819082c8eb0d63e3f5fe |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:49 p.m.