Triple
T15202754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal election of 1352 |
E363307
|
entity |
| Predicate | electedPersonPreviousOffice |
P72167
|
FINISHED |
| Object | Cardinal-bishop of Ostia |
—
|
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: Cardinal-bishop of Ostia | Statement: [Papal election of 1352, electedPersonPreviousOffice, Cardinal-bishop of Ostia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedPersonPreviousOffice Context triple: [Papal election of 1352, electedPersonPreviousOffice, Cardinal-bishop of Ostia]
-
A.
previousOffice
chosen
Indicates that one office or position was held immediately before another in a sequence of offices.
-
B.
officePreviouslyHeldBy
Indicates that a particular office or position was formerly occupied by a specified person or entity.
-
C.
precededByOfficeHolder
Indicates that one office holder directly held a position before another office holder in a sequence of occupants of the same office.
-
D.
predecessorInOffice
Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
-
E.
notableFormerOfficeHolderRole
Indicates that an entity previously held a particular official position or role that is considered notable.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b693a48190a6230b7b52bc8cd3 |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.