Triple
T31183521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quedlinburg Abbey |
E794967
|
entity |
| Predicate | grantedImperialStatusBy |
P143768
|
FINISHED |
| Object | Otto I, Holy Roman Emperor |
—
|
NE NERFINISHED |
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: Otto I, Holy Roman Emperor | Statement: [Quedlinburg Abbey, grantedImperialStatusBy, Otto I, Holy Roman Emperor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedImperialStatusBy Context triple: [Quedlinburg Abbey, grantedImperialStatusBy, Otto I, Holy Roman Emperor]
-
A.
hadImperialStatus
chosen
Indicates that an entity possessed or was granted imperial rank, authority, or official status within an empire.
-
B.
grantedImperialImmediacyBy
Indicates that an entity received the special legal-political status of imperial immediacy directly from a specified imperial authority.
-
C.
grantedToEmperor
Indicates that something (such as a right, title, privilege, or possession) has been formally given or conferred to an emperor.
-
D.
wasMadeCoEmperorBy
Indicates that one entity was elevated to the rank of co-emperor through the action or decision of another entity.
-
E.
monarchWhoGrantedTitle
Indicates the monarch who conferred or bestowed a particular title upon an individual.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 29, 2026, 9:08 p.m.