Triple
T36505067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Joseph's Day |
E899438
|
entity |
| Predicate | fixedOrMoveableFeast |
P34725
|
FINISHED |
| Object | fixed feast |
—
|
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: fixed feast | Statement: [Saint Joseph's Day, fixedOrMoveableFeast, fixed feast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fixedOrMoveableFeast Context triple: [Saint Joseph's Day, fixedOrMoveableFeast, fixed feast]
-
A.
isMovableFeast
Indicates that an event or celebration occurs on a date that changes from year to year rather than being fixed on the calendar.
-
B.
isFixedFeast
chosen
Indicates that an event or celebration occurs on the same calendar date every year, rather than moving relative to other dates.
-
C.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
-
D.
containsFixedFeasts
Indicates that an entity includes or encompasses specific feasts that occur on fixed, recurring calendar dates.
-
E.
feastTraditionalName
Indicates the traditional or customary name by which a particular feast or celebration is known.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.