Triple
T3590402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Republican Calendar |
E76011
|
entity |
| Predicate | dayName3 |
P45999
|
FINISHED |
| Object | tridi |
—
|
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: tridi | Statement: [French Republican Calendar, dayName3, tridi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayName3 Context triple: [French Republican Calendar, dayName3, tridi]
-
A.
dayName
Indicates the specific name of the day of the week associated with a given date or time.
-
B.
secondDayName
chosen
Indicates that one entity is the name or label assigned to the second day in a sequence of days associated with another entity.
-
C.
namesDay
Indicates that one entity is the name assigned to a particular day (such as a weekday or holiday) associated with another entity.
-
D.
dayOfMonth
Indicates the specific calendar day number within a given month on which something occurs or is associated.
-
E.
hasDayNameSystem
Indicates that an entity employs or is associated with a particular system for naming or designating days.
- 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.