Triple
T17554303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League president forfeited second game |
E427549
|
entity |
| Predicate | initialActionByUmpires |
P127902
|
FINISHED |
| Object | suspended second game due to field conditions |
—
|
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: suspended second game due to field conditions | Statement: [American League president forfeited second game, initialActionByUmpires, suspended second game due to field conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialActionByUmpires Context triple: [American League president forfeited second game, initialActionByUmpires, suspended second game due to field conditions]
-
A.
eraAsUmpire
Indicates the time period during which an entity served in the role of an umpire.
-
B.
Game6Umpire
Indicates that an entity serves as the umpire for game 6 in a series or event.
-
C.
umpires
Indicates that an entity serves as the umpire overseeing, judging, or officiating an event, activity, or interaction involving another entity.
-
D.
umpiresProvidedBy
Indicates that one entity supplies or assigns umpires to officiate for another entity or event.
-
E.
typeOfUmpire
Indicates the specific category or role an umpire belongs to within the broader set of umpires.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45620983c81909e71f938ce934efa |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.