Triple
T2480575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince-Archbishopric of Mainz |
E55804
|
entity |
| Predicate | electorRank |
P19568
|
FINISHED |
| Object | ecclesiastical elector |
—
|
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: ecclesiastical elector | Statement: [Prince-Archbishopric of Mainz, electorRank, ecclesiastical elector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electorRank Context triple: [Prince-Archbishopric of Mainz, electorRank, ecclesiastical elector]
-
A.
electoralRank
chosen
Indicates the position or level an entity holds within an electoral hierarchy or ranking system.
-
B.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
-
C.
electoralCollegeWeighting
Indicates how much influence or voting power a given entity has within an electoral college system relative to others.
-
D.
electoralSignificance
Indicates the importance or impact that something has on an election’s outcome, dynamics, or results.
-
E.
seatOfElector
Indicates the location or jurisdiction that serves as the official base or constituency of a given elector.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1eb3be481908fa7c6b8f1c78209 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b5e3d481909a5cbc4a96edd24f |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.