Triple
T11761629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 Rose Bowl |
E279669
|
entity |
| Predicate | quarter1Score |
P38578
|
FINISHED |
| Object | Michigan 0–7 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 0–7 Washington State | Statement: [1998 Rose Bowl, quarter1Score, Michigan 0–7 Washington State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quarter1Score Context triple: [1998 Rose Bowl, quarter1Score, Michigan 0–7 Washington State]
-
A.
quarterScores
Indicates the scores achieved in each quarter of a game, match, or period-based event.
-
B.
firstQuarter
Indicates that an event, state, or condition occurs during the first quarter of a defined time period (such as a year or fiscal year).
-
C.
scoringSummaryFirstQuarter
chosen
Indicates the scoring summary or breakdown of points that occurred during the first quarter of a game or event.
-
D.
quarter
Indicates that one entity divides another into four equal parts or assigns it to a specific fourth portion of a whole.
-
E.
quarterLength
Indicates that one entity specifies the length or duration of a quarter (e.g., a time period or segment) associated with another entity.
- 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.