Triple
T3798323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camerlengo of the Holy Roman Church |
E91626
|
entity |
| Predicate | officeBecomesActive |
P1383
|
FINISHED |
| Object | upon the death or resignation of the pope |
—
|
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: upon the death or resignation of the pope | Statement: [Camerlengo of the Holy Roman Church, officeBecomesActive, upon the death or resignation of the pope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeBecomesActive Context triple: [Camerlengo of the Holy Roman Church, officeBecomesActive, upon the death or resignation of the pope]
-
A.
afterOfficeActivity
Indicates that one entity engages in an activity that takes place after regular office or work hours.
-
B.
officeStart
chosen
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
-
C.
officeSucceededBy
Indicates that one office or position is followed or replaced by another office or position in a succession sequence.
-
D.
officeCreatedFor
Indicates that an office or position was established specifically to serve, represent, or support a particular entity.
-
E.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.