Triple
T5606434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One O’Clock Gun |
E147243
|
entity |
| Predicate | exceptionDays |
P34861
|
FINISHED |
| Object | Sundays |
—
|
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: Sundays | Statement: [One O’Clock Gun, exceptionDays, Sundays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exceptionDays Context triple: [One O’Clock Gun, exceptionDays, Sundays]
-
A.
holidaySchedule
Indicates the planned dates, times, and durations during which holidays occur or are observed.
-
B.
specialDaysCount
Indicates the number of special or designated days associated with an entity or time period.
-
C.
includesSpecialDay
chosen
Indicates that a time period, schedule, or collection contains or encompasses at least one designated special day or occasion.
-
D.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
E.
holidayStatus
Indicates the current holiday-related state or condition associated with an entity, such as whether it is a holiday, non-holiday, or a specific holiday type.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fbb8748190841e5e09db3feef1 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.