Triple
T5104759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coup of 30 Prairial Year VII |
E115063
|
entity |
| Predicate | yearInGregorianCalendar |
P61142
|
FINISHED |
| Object | 1799 |
—
|
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: 1799 | Statement: [Coup of 30 Prairial Year VII, yearInGregorianCalendar, 1799]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearInGregorianCalendar Context triple: [Coup of 30 Prairial Year VII, yearInGregorianCalendar, 1799]
-
A.
newYearDateGregorian
Indicates the specific calendar date on which New Year’s Day occurs according to the Gregorian calendar.
-
B.
positionInGregorianCalendar
Indicates the specific placement or ordering of a time-related entity within the structure of the Gregorian calendar.
-
C.
calendarEpoch
Indicates the reference starting point in time from which a particular calendar system counts its dates.
-
D.
dateRelativeToGregorian
Indicates how a given date is positioned or expressed in relation to the standard Gregorian calendar date.
-
E.
yearCirca
Indicates that the associated year is approximate or uncertain rather than exact.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7589e40c8190a46e4a1b7142be14 |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:41 p.m.