Triple
T36368578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Gator Bowl |
E895691
|
entity |
| Predicate | oneOfOldestBowlsInUS |
P58759
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Toyota Gator Bowl, oneOfOldestBowlsInUS, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfOldestBowlsInUS Context triple: [Toyota Gator Bowl, oneOfOldestBowlsInUS, true]
-
A.
oneOfTheOldestOn
chosen
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
-
B.
bowlSystem
Indicates a relationship where one entity functions as or belongs to a bowling-related system, setup, or arrangement involving bowls or bowling equipment.
-
C.
includesBowl
Indicates that something contains or has a bowl as one of its components or elements.
-
D.
numberOfBowls
Indicates the quantity of bowls associated with a given entity or situation.
-
E.
bowlRecord
Indicates a record or documentation of a bowling-related performance, event, or outcome associated with an 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_69f76e5115588190ad8738860b7bc68b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.