Triple
T10599012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Game (Ohio State–Michigan rivalry) |
E275692
|
entity |
| Predicate | divisionImpact |
P39607
|
FINISHED |
| Object | often determines Big Ten championship |
—
|
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: often determines Big Ten championship | Statement: [The Game (Ohio State–Michigan rivalry), divisionImpact, often determines Big Ten championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionImpact Context triple: [The Game (Ohio State–Michigan rivalry), divisionImpact, often determines Big Ten championship]
-
A.
divisionImplications
chosen
Indicates the consequences, outcomes, or effects that result from a particular division or separation between entities.
-
B.
nationalImpact
Indicates that something has a significant effect or influence at the level of an entire nation.
-
C.
divisionOccurred
Indicates that one entity has been separated into two or more distinct parts or groups through a division event.
-
D.
divisionSince
Indicates that one entity has been divided or split from another starting at a specific point in time.
-
E.
impactCategory
Indicates the type or domain of effect that one entity or action has on another, classifying the nature of its impact.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4992248190b640d743ccf02c82 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
Created at: April 8, 2026, 7:30 p.m.