Triple
T3798298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camerlengo of the Holy Roman Church |
E91626
|
entity |
| Predicate | officeHolderDuring |
P28797
|
FINISHED |
| Object | sede vacante |
—
|
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: sede vacante | Statement: [Camerlengo of the Holy Roman Church, officeHolderDuring, sede vacante]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderDuring Context triple: [Camerlengo of the Holy Roman Church, officeHolderDuring, sede vacante]
-
A.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
-
B.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
C.
officeHolderAsOf
Indicates that a person holds or held a specific office or position as of a particular date or point in time.
-
D.
officeHolderUsually
Indicates that an entity is the person who typically or customarily holds a particular office or position.
-
E.
officeHolderAtTime
chosen
Indicates that a person holds or held a particular office or position during a specified time period.
- 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.