Triple
T451646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bumbershoot Festival |
E7141
|
entity |
| Predicate | usualDates |
P5157
|
FINISHED |
| Object | Labor Day 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: Labor Day weekend | Statement: [Bumbershoot Festival, usualDates, Labor Day weekend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usualDates Context triple: [Bumbershoot Festival, usualDates, Labor Day weekend]
-
A.
nationalHolidayDate
Indicates the specific calendar date on which a given national holiday is officially observed.
-
B.
nationalHoliday
Indicates that a particular day is officially recognized and observed as a national holiday by a country or nation.
-
C.
holidaySchedule
chosen
Indicates the planned dates, times, and durations during which holidays occur or are observed.
-
D.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
E.
relatedHoliday
Indicates that there is an association or connection between two holidays, such as thematic, temporal, cultural, or contextual relatedness.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef835ae881908884dcc3a46af951 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede3187c8190a7ced078f0ec3476 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.