Triple
T19277974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio River Sternwheel Festival |
E482107
|
entity |
| Predicate | dayOfWeekPattern |
P103822
|
FINISHED |
| Object | weekend |
—
|
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: weekend | Statement: [Ohio River Sternwheel Festival, dayOfWeekPattern, weekend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayOfWeekPattern Context triple: [Ohio River Sternwheel Festival, dayOfWeekPattern, weekend]
-
A.
mentionsDayOfWeek
Indicates that something explicitly refers to or names a specific day of the week.
-
B.
dayName
Indicates the specific name of the day of the week associated with a given date or time.
-
C.
weekdayServicePattern
Indicates a service pattern or schedule that specifically applies on weekdays rather than weekends or holidays.
-
D.
dayName7
Indicates that the relationship specifies the name of the seventh day of the week associated with a given day entity.
-
E.
dayType
chosen
Indicates the classification or category of a given day based on its characteristics or role (e.g., weekday, weekend, holiday).
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbe6e9c8190a7fa2ef3aa598e6c |
completed | April 20, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:30 p.m.