Triple
T16186136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World of Outlaws Sprint Car Series (visiting event) |
E392807
|
entity |
| Predicate | eventFrequencyAtKnoxville |
P122067
|
FINISHED |
| Object | Annual or occasional |
—
|
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: Annual or occasional | Statement: [World of Outlaws Sprint Car Series (visiting event), eventFrequencyAtKnoxville, Annual or occasional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventFrequencyAtKnoxville Context triple: [World of Outlaws Sprint Car Series (visiting event), eventFrequencyAtKnoxville, Annual or occasional]
-
A.
oftenHeldOn
Indicates that an event or activity typically takes place on a particular date, day, or time.
-
B.
associatedCityEvent
Indicates a relationship where a city is linked to, involved in, or serves as the location for a particular event.
-
C.
memorialEventFrequency
Indicates how often a memorial event occurs or is scheduled to take place.
-
D.
eventLocationOfNotableActivity
Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
-
E.
typicalEventDay
Indicates the day on which an event is normally or most commonly held or occurs.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22061f47481909ededd5eed40f5a4 |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.