Triple
T15454454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nivôse |
E371732
|
entity |
| Predicate | precedes |
P97
|
FINISHED |
| Object | Pluviôse |
E372843
|
NE 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: Pluviôse | Statement: [Nivôse, precedes, Pluviôse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pluviôse Context triple: [Nivôse, precedes, Pluviôse]
-
A.
Pluviôse
chosen
Pluviôse is the fifth month of the French Republican Calendar, corresponding roughly to late January and early February and named for its typically rainy weather.
-
B.
Nivôse
Nivôse is the fourth month of the French Republican Calendar, corresponding roughly to late December and early January and associated with snow and winter.
-
C.
Floréal
Floréal is the eighth springtime month of the French Republican Calendar, named to evoke the flowering period of the year.
-
D.
Fabvier
Fabvier was a prominent French Philhellene and military officer who played a key role in supporting the Greek War of Independence in the early 19th century.
-
E.
Prairial
Prairial is the ninth month of the French Republican Calendar, corresponding roughly to late May and most of June and associated with the flowering of meadows.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f131b1481909ff099c3b844ee07 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cfbae7881909602b187e5219a35 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:31 a.m.