Triple
T3590387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Republican Calendar |
E76011
|
entity |
| Predicate | epochEvent |
P21934
|
FINISHED |
| Object | proclamation of the French Republic |
—
|
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: proclamation of the French Republic | Statement: [French Republican Calendar, epochEvent, proclamation of the French Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epochEvent Context triple: [French Republican Calendar, epochEvent, proclamation of the French Republic]
-
A.
timePeriodEvent
Indicates that an event occurs, is scheduled, or is valid within a specified time period.
-
B.
epochReference
chosen
Indicates a temporal relationship where one time expression is interpreted relative to a specified reference epoch or baseline time.
-
C.
eventName
Indicates the specific label or title assigned to identify an event within a system or context.
-
D.
eventContext
Indicates the situational or background circumstances (such as time, place, conditions, or surrounding events) within which a particular event occurs or is interpreted.
-
E.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13c9514819096adf60b15016b8b |
completed | March 8, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.