Triple
T519412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Heaven |
E10779
|
entity |
| Predicate | expressedInPrayer |
P11162
|
FINISHED |
| Object | Hail Holy Queen |
—
|
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: Hail Holy Queen | Statement: [Queen of Heaven, expressedInPrayer, Hail Holy Queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expressedInPrayer Context triple: [Queen of Heaven, expressedInPrayer, Hail Holy Queen]
-
A.
isAddressedInPrayer
chosen
Indicates that an entity is the recipient or target of a prayer being spoken or offered.
-
B.
religiousPhraseOptional
Indicates that a religious phrase may be present in the context but is not required.
-
C.
eucharisticPrayer
Indicates the liturgical act of offering and consecrating bread and wine in a Christian worship service as part of the central prayer of the Eucharist.
-
D.
usedInLiturgy
Indicates that something is employed or incorporated as part of a formal religious liturgy or worship service.
-
E.
expresses
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
- 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.