Triple
T1154300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitsunday |
E23746
|
entity |
| Predicate | hasFeastDuration |
P8729
|
FINISHED |
| Object | one day in Western Christianity |
—
|
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: one day in Western Christianity | Statement: [Whitsunday, hasFeastDuration, one day in Western Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeastDuration Context triple: [Whitsunday, hasFeastDuration, one day in Western Christianity]
-
A.
hasAssociatedFeast
Indicates that something (such as a person, event, or entity) is linked to a specific feast or celebratory religious observance.
-
B.
feast
Indicates that an entity participates in or hosts a large, elaborate meal or celebration involving abundant food and communal dining.
-
C.
hasOfficialDuration
chosen
Indicates the formally defined length of time associated with an event, process, or entity.
-
D.
numberOfGreatFeasts
Indicates the total count of great feasts associated with or observed by an entity.
-
E.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8fbb548190865b1bf019f2bde4 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.