Triple
T11761630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 Rose Bowl |
E279669
|
entity |
| Predicate | quarter2Score |
P30630
|
FINISHED |
| Object | Michigan 7–0 Washington State |
—
|
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: Michigan 7–0 Washington State | Statement: [1998 Rose Bowl, quarter2Score, Michigan 7–0 Washington State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quarter2Score Context triple: [1998 Rose Bowl, quarter2Score, Michigan 7–0 Washington State]
-
A.
quarterScores
chosen
Indicates the scores achieved in each quarter of a game, match, or period-based event.
-
B.
quarter
Indicates that one entity divides another into four equal parts or assigns it to a specific fourth portion of a whole.
-
C.
secondQuarter
Indicates that something occurs in, belongs to, or is associated with the second quarter of a defined time period (typically a year).
-
D.
thirdQuarter
Indicates that something occurs in, belongs to, or is associated with the third quarter of a defined time period (such as a fiscal or calendar year).
-
E.
secondAndThirdQuarters
Indicates that the relationship or action specifically involves the second and third quarters of a defined time period (such as a fiscal or calendar year).
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.