Triple
T16186141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World of Outlaws Sprint Car Series (visiting event) |
E392807
|
entity |
| Predicate | eventStatusAtKnoxville |
P122069
|
FINISHED |
| Object | Special event |
—
|
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: Special event | Statement: [World of Outlaws Sprint Car Series (visiting event), eventStatusAtKnoxville, Special event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventStatusAtKnoxville Context triple: [World of Outlaws Sprint Car Series (visiting event), eventStatusAtKnoxville, Special event]
-
A.
eventStatus
Indicates the current state or phase of an event within its lifecycle (e.g., planned, ongoing, completed, or canceled).
-
B.
eventLocationOfNotableActivity
Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
-
C.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
D.
countryHostedEvent
Indicates that a specific country served as the host location for a particular event.
-
E.
festivalStatus
Indicates the current state or condition of a festival, such as whether it is planned, ongoing, postponed, or completed.
- 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.