Triple
T7667152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1937 MLB All-Star Game |
E173649
|
entity |
| Predicate | hostBallparkFirstTime |
P15425
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1937 MLB All-Star Game, hostBallparkFirstTime, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostBallparkFirstTime Context triple: [1937 MLB All-Star Game, hostBallparkFirstTime, true]
-
A.
firstHostBallpark
chosen
Indicates the ballpark where a team or player first hosted a game or event.
-
B.
hasBallpark
Indicates that an entity possesses, is associated with, or includes a specific ballpark as part of its attributes or facilities.
-
C.
usesBallparkFor
Indicates that one entity makes use of a particular ballpark facility for its activities or events.
-
D.
homeBallparkOfChampion
Indicates that a particular ballpark serves as the home stadium for a championship-winning team or champion.
-
E.
managedHomeBallpark
Indicates that one entity served as the manager of a sports team while that team was based at or associated with a particular home ballpark.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.