Triple
T519421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Heaven |
E10779
|
entity |
| Predicate | feastObservedIn |
P7822
|
FINISHED |
| Object | Roman Catholic liturgical 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: Roman Catholic liturgical calendar | Statement: [Queen of Heaven, feastObservedIn, Roman Catholic liturgical calendar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feastObservedIn Context triple: [Queen of Heaven, feastObservedIn, Roman Catholic liturgical calendar]
-
A.
isCelebratedIn
chosen
Indicates that an event, person, or occasion is honored, observed, or commemorated within a particular place, time, or context.
-
B.
hasAssociatedFeast
Indicates that something (such as a person, event, or entity) is linked to a specific feast or celebratory religious observance.
-
C.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
-
D.
majorFeast
Indicates that an event or celebration is recognized as a major religious or cultural feast of high importance.
-
E.
typicalObservances
Indicates the customary practices, rituals, or activities that are commonly carried out in association with something (such as an event, tradition, 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1a00a6c8190a62dc7c901c2f2ff |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f016ba5c81909825b04e7525b4ab |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.