Triple
T17985450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Bayne |
E430217
|
entity |
| Predicate | postRacingActivity |
P130016
|
FINISHED |
| Object | opened coffee shop in Knoxville, Tennessee |
—
|
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: opened coffee shop in Knoxville, Tennessee | Statement: [Trevor Bayne, postRacingActivity, opened coffee shop in Knoxville, Tennessee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postRacingActivity Context triple: [Trevor Bayne, postRacingActivity, opened coffee shop in Knoxville, Tennessee]
-
A.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
-
B.
raceAdded
Indicates that a race event or race-related record has been newly created or incorporated into a system or dataset.
-
C.
raceTrack
Indicates that one entity serves as a race track or racing course used by another entity for racing activities.
-
D.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
E.
positionOnRace
Indicates the relative ranking or placement an entity holds within the context of a race or competitive event.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29b4e808190af06074168169035 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:23 a.m.