Triple
T15454614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thermidor |
E371736
|
entity |
| Predicate | belongsToSeasonalGroup |
P12263
|
FINISHED |
| Object | summer quarter of French Republican Calendar |
—
|
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: summer quarter of French Republican Calendar | Statement: [Thermidor, belongsToSeasonalGroup, summer quarter of French Republican Calendar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSeasonalGroup Context triple: [Thermidor, belongsToSeasonalGroup, summer quarter of French Republican Calendar]
-
A.
belongsToSeasonPass
Indicates that an item, access right, or feature is included as part of a specific season pass.
-
B.
belongsToGroup
chosen
Indicates that an entity is a member of, or is included within, a particular group or collection.
-
C.
hasSeasonalParticipationIn
Indicates that an entity takes part in or is involved with another entity only during specific seasons or recurring seasonal periods.
-
D.
hasSeasonScope
Indicates that something is applicable, valid, or relevant only within a specified season or seasonal period.
-
E.
hasSeasonType
Indicates that something is associated with a particular category or type of season (e.g., summer, winter, rainy).
- 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_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. |
Created at: April 10, 2026, 3:31 a.m.