Triple
T34422807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advent in the Ambrosian Rite |
E883593
|
entity |
| Predicate | hasNumberOfSundays |
P49568
|
FINISHED |
| Object | six |
—
|
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: six | Statement: [Advent in the Ambrosian Rite, hasNumberOfSundays, six]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfSundays Context triple: [Advent in the Ambrosian Rite, hasNumberOfSundays, six]
-
A.
hasDayCount
Indicates that an entity is associated with a specific number of days, expressing the duration or count of days related to it.
-
B.
ifOnSundayObservedOn
Indicates that when an event or obligation falls on a Sunday, it is instead observed or carried out on a different specified day.
-
C.
hasDays
Indicates that an entity is associated with, spans, or occurs on specific days.
-
D.
sundayLawDate
Indicates the date on which a specific Sunday law is enacted, comes into effect, or is scheduled to be observed.
-
E.
specialDaysCount
chosen
Indicates the number of special or designated days associated with an entity or time period.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: May 1, 2026, 2 a.m.