Triple
T23146606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Venezia Memorial Award |
E577610
|
entity |
| Predicate | awardedForBehaviorOnAndOffTrack |
P151099
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mike Venezia Memorial Award, awardedForBehaviorOnAndOffTrack, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForBehaviorOnAndOffTrack Context triple: [Mike Venezia Memorial Award, awardedForBehaviorOnAndOffTrack, yes]
-
A.
trackOn
Indicates that one entity is physically positioned or moving along the surface or path of another, like a vehicle on a track or rails.
-
B.
typicalTrackCondition
Indicates the usual or standard state or quality of a track under normal conditions.
-
C.
notOnTrackOf
Indicates that an entity is not progressing according to the expected or planned course, schedule, or objective associated with another entity.
-
D.
wardedOffBy
Indicates that an action, effect, or threat is prevented, repelled, or neutralized by another entity or intervention.
-
E.
offRoadBehavior
Indicates how an entity behaves, performs, or is operated when used off regular roads or standard paved surfaces.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ece211c81908b53e98f0acae09a |
completed | April 29, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4:01 p.m.