Triple
T26693363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominus ac Redemptor |
E672949
|
entity |
| Predicate | documentNumbering |
P3247
|
FINISHED |
| Object | major act of Clement XIV’s pontificate |
—
|
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: major act of Clement XIV’s pontificate | Statement: [Dominus ac Redemptor, documentNumbering, major act of Clement XIV’s pontificate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentNumbering Context triple: [Dominus ac Redemptor, documentNumbering, major act of Clement XIV’s pontificate]
-
A.
legalNumbering
Indicates that an entity has an officially assigned legal or regulatory identification number.
-
B.
documentNumber
chosen
Indicates the unique identifying number assigned to a specific document in the relationship.
-
C.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
D.
numberingStatus
Indicates the status or condition of an entity’s assigned number or numbering process (e.g., whether it has been numbered, is pending, or has a particular numbering state).
-
E.
workNumbering
Indicates that a specific numbering or cataloging identifier is assigned to a work within a larger collection or system.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61779bf6081909720cef2847ccac0 |
completed | May 2, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:27 a.m.