Triple
T29339541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feast of Saint Luke |
E743998
|
entity |
| Predicate | hasCollectPrayerTheme |
P24743
|
FINISHED |
| Object | proclamation of the Gospel |
—
|
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: proclamation of the Gospel | Statement: [Feast of Saint Luke, hasCollectPrayerTheme, proclamation of the Gospel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectPrayerTheme Context triple: [Feast of Saint Luke, hasCollectPrayerTheme, proclamation of the Gospel]
-
A.
hasPrayerRite
Indicates that one entity is associated with, follows, or practices a particular prayer rite or liturgical form.
-
B.
containsPrayerType
Indicates that one entity includes or encompasses a specific type or category of prayer.
-
C.
hasDevotionalTheme
Indicates that something (such as a work, act, or expression) centers on or embodies a devotional or worship-related theme.
-
D.
hasSayingTheme
Indicates that a saying, proverb, or quoted expression is about or centers on a particular theme or subject.
-
E.
hasReligiousTheme
chosen
Indicates that something (such as a work, event, or object) centrally involves or expresses religious ideas, symbols, practices, or narratives.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a005b2e0a9c819081c6f7ccbef49ff8 |
completed | May 10, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a005a8bcde88190ace2bc0215e26430 |
completed | May 10, 2026, 10:14 a.m. |
Created at: April 28, 2026, 1:33 p.m.