Triple
T1254408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magisterium of the Catholic Church |
E26953
|
entity |
| Predicate | exercisesTeachingOfficeThrough |
P25851
|
FINISHED |
| Object | homilies |
—
|
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: homilies | Statement: [Magisterium of the Catholic Church, exercisesTeachingOfficeThrough, homilies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exercisesTeachingOfficeThrough Context triple: [Magisterium of the Catholic Church, exercisesTeachingOfficeThrough, homilies]
-
A.
assistsOffice
Indicates that one entity provides help or support to another entity in the context of office-related tasks or operations.
-
B.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
-
C.
otherOffice
Indicates that one office is an alternative or additional office associated with the same organization, person, or entity as another office.
-
D.
includedOffice
Indicates that one office is contained within, or forms part of, another office or organizational unit.
-
E.
equivalentOffice
Indicates that two offices are considered functionally or formally the same position, role, or authority, even if they differ in name or jurisdiction.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bfa5a4cc819093ed686619b572d8 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:47 p.m.