Triple
T32282730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Providentissima Mater Ecclesia |
E824743
|
entity |
| Predicate | promulgatedCodeNickname |
P61115
|
FINISHED |
| Object | Pio-Benedictine Code |
—
|
NE NERFINISHED |
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: Pio-Benedictine Code | Statement: [Providentissima Mater Ecclesia, promulgatedCodeNickname, Pio-Benedictine Code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promulgatedCodeNickname Context triple: [Providentissima Mater Ecclesia, promulgatedCodeNickname, Pio-Benedictine Code]
-
A.
usesCodeName
chosen
Indicates that one entity refers to another entity by a code name or alias instead of its real or full designation.
-
B.
isOfficialCodeFor
Indicates that one entity serves as the formally recognized or authorized code that designates or identifies another entity.
-
C.
codifiedIn
Indicates that something is formally recorded, defined, or established within a specific document, code, or legal/institutional text.
-
D.
nicknameOfProgram
Indicates that one name is used as an informal or alternative nickname for a particular program.
-
E.
codifiedThrough
Indicates that something is formally established, expressed, or made authoritative by means of a specific codification process, document, or legal/institutional mechanism.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bccc5be081908b121f4035b42dd9 |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:43 a.m.