Triple
T934546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Sirach |
E20165
|
entity |
| Predicate | canonicalStatusInCatholicChurch |
P22666
|
FINISHED |
| Object | deuterocanonical |
—
|
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: deuterocanonical | Statement: [Book of Sirach, canonicalStatusInCatholicChurch, deuterocanonical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalStatusInCatholicChurch Context triple: [Book of Sirach, canonicalStatusInCatholicChurch, deuterocanonical]
-
A.
inCanonizationStatus
Indicates that an entity has a specific status or stage within a formal canonization process.
-
B.
doctrinalStatus
Indicates the formal standing or classification of a belief, teaching, or doctrine within a particular religious or ideological system.
-
C.
cathedralStatus
Indicates that an entity holds the official status or designation of a cathedral within a religious or ecclesiastical context.
-
D.
canonLawSubject
Indicates that an entity is the subject or topic governed, regulated, or addressed by a particular canon law or set of canonical legal norms.
-
E.
statusInLutheranChurches
Indicates the recognized position, role, or standing that an entity holds within Lutheran church institutions or communities.
- F. None of above. chosen
Provenance (4 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b299c4d881908a57ac2711676cd7 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b3bab5788190a62a0e23a698f7c7 |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:40 p.m.