Triple
T36951168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 Orange Bowl |
E914065
|
entity |
| Predicate | seasonNumberForOrangeBowl |
P194636
|
FINISHED |
| Object | 74 |
—
|
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: 74 | Statement: [2008 Orange Bowl, seasonNumberForOrangeBowl, 74]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonNumberForOrangeBowl Context triple: [2008 Orange Bowl, seasonNumberForOrangeBowl, 74]
-
A.
roseBowlNumber
Indicates the specific edition or sequence number assigned to a particular Rose Bowl game within the series of all Rose Bowl games.
-
B.
nextOrangeBowl
Indicates that one entity is the next scheduled occurrence of the Orange Bowl game relative to a given reference point or event.
-
C.
roseBowlOpponentForWinner
Indicates the team that was defeated by the winning team in the Rose Bowl game.
-
D.
lastSeasonAsGoDaddyBowl
Indicates the season in which a particular event or game was last held under the name "GoDaddy Bowl."
-
E.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: May 3, 2026, 4:13 p.m.