Triple
T11211591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fête des Vignerons |
E265321
|
entity |
| Predicate | typicalIntervalBetweenEditions |
P97870
|
FINISHED |
| Object | 20 to 25 years |
—
|
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: 20 to 25 years | Statement: [Fête des Vignerons, typicalIntervalBetweenEditions, 20 to 25 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalIntervalBetweenEditions Context triple: [Fête des Vignerons, typicalIntervalBetweenEditions, 20 to 25 years]
-
A.
laterTypicalEditionYear
Indicates that one edition’s typical publication year occurs after that of another edition.
-
B.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
C.
appliedToEditionFrequency
Indicates that a particular action, rule, or condition is associated with how often a specific edition occurs or is issued.
-
D.
correctedEditionYear
Indicates the year in which a corrected or revised edition of a work was published or released.
-
E.
biennialFormatStartYear
Indicates the calendar year in which a recurring event or format that occurs every two years begins its biennial cycle.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d6f5d4819086dcb776a0d469e8 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.