Triple
T13113162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Most Precious Blood of Our Lord Jesus Christ |
E311024
|
entity |
| Predicate | hasPrayerForm |
P75774
|
FINISHED |
| Object | chaplet |
—
|
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: chaplet | Statement: [The Most Precious Blood of Our Lord Jesus Christ, hasPrayerForm, chaplet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrayerForm Context triple: [The Most Precious Blood of Our Lord Jesus Christ, hasPrayerForm, chaplet]
-
A.
prayerForm
chosen
Indicates the specific manner, style, or structure in which a prayer is expressed or performed.
-
B.
containsPrayerType
Indicates that one entity includes or encompasses a specific type or category of prayer.
-
C.
canBePrayed
Indicates that an entity is a suitable or valid target for prayer or religious supplication.
-
D.
prayedDuring
Indicates that one entity performed prayer at some time within the duration of another specified event or time interval.
-
E.
hasViewOnPrayerText
Indicates that an entity holds a particular stance, interpretation, or opinion regarding a specific prayer text.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:06 p.m.