Triple
T10734995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Sunday of Advent (with different counting than Roman Rite) |
E253172
|
entity |
| Predicate | hasSeasonalCategory |
P26586
|
FINISHED |
| Object | pre-Christmas season |
—
|
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: pre-Christmas season | Statement: [First Sunday of Advent (with different counting than Roman Rite), hasSeasonalCategory, pre-Christmas season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasonalCategory Context triple: [First Sunday of Advent (with different counting than Roman Rite), hasSeasonalCategory, pre-Christmas season]
-
A.
hasSeasonalStatus
Indicates that an entity’s status, availability, or condition varies according to a particular season or time of year.
-
B.
hasSeasonalHighlight
Indicates that something features a notable or emphasized aspect during a particular season or time of year.
-
C.
hasSeasonalCollections
Indicates that an entity offers or maintains collections that vary according to specific seasons or times of year.
-
D.
hasSeasonType
chosen
Indicates that something is associated with a particular category or type of season (e.g., summer, winter, rainy).
-
E.
hasSeasonalNature
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71021cccc8190ba2d3bbd7d50e2a7 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.