Triple
T32282767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Norms (1917 Code of Canon Law) |
E824744
|
entity |
| Predicate | hasCanonicalNumberingWithin |
P116210
|
FINISHED |
| Object | Book I of 1917 Code of Canon Law |
—
|
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: Book I of 1917 Code of Canon Law | Statement: [General Norms (1917 Code of Canon Law), hasCanonicalNumberingWithin, Book I of 1917 Code of Canon Law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalNumberingWithin Context triple: [General Norms (1917 Code of Canon Law), hasCanonicalNumberingWithin, Book I of 1917 Code of Canon Law]
-
A.
hasCanonicalNumber
Indicates that an entity is associated with its officially recognized or standard reference number.
-
B.
hasNumberingWithin
chosen
Indicates that one entity assigns or follows a specific numbering scheme within the scope or structure of another entity.
-
C.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
D.
hasCategoryNumbering
Indicates that an entity is assigned or associated with a specific category-based numbering or index within a classification system.
-
E.
hasCanonicalNumberOfArticles
Indicates that an entity is associated with a standard, officially recognized count of articles that define or describe it.
- 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_69fed09a12648190affcd9bacf7ca275 |
completed | May 9, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69fecf91d6f481908deb60c965c433ed |
completed | May 9, 2026, 6:09 a.m. |
Created at: May 1, 2026, 12:43 a.m.