Triple
T15454453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nivôse |
E371732
|
entity |
| Predicate | frenchRepublicanCalendarPosition |
P118859
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Nivôse, frenchRepublicanCalendarPosition, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frenchRepublicanCalendarPosition Context triple: [Nivôse, frenchRepublicanCalendarPosition, 4]
-
A.
dateInFrenchRepublicanCalendar
Indicates that a given date is expressed according to the French Republican (Revolutionary) calendar system rather than another calendar.
-
B.
yearInFrenchRepublicanCalendar
Indicates the specific year of an event or entity as expressed in the French Republican calendar system.
-
C.
positionInRomanCalendar
Indicates the ordinal placement or rank that something occupies within the sequence of months or days in the Roman calendar.
-
D.
positionInGregorianCalendar
Indicates the specific placement or ordering of a time-related entity within the structure of the Gregorian calendar.
-
E.
positionInCivilYear
Indicates the specific point or ordering of something within the sequence of time units that make up a civil (calendar) year.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f131b1481909ff099c3b844ee07 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:31 a.m.