Triple
T17264255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince-bishop of Cologne |
E419083
|
entity |
| Predicate | rankInCollegeOfElectors |
P39748
|
FINISHED |
| Object | one of the seven prince-electors |
—
|
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: one of the seven prince-electors | Statement: [Prince-bishop of Cologne, rankInCollegeOfElectors, one of the seven prince-electors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInCollegeOfElectors Context triple: [Prince-bishop of Cologne, rankInCollegeOfElectors, one of the seven prince-electors]
-
A.
rankInElectoralCollege
chosen
Indicates the position or standing an entity holds within the ordering of members in an electoral college for a given election or context.
-
B.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
-
C.
electoralVoteFor
Indicates that a specified number of electoral votes are allocated or cast in favor of a particular candidate or option in an election.
-
D.
electoralRank
Indicates the position or level an entity holds within an electoral hierarchy or ranking system.
-
E.
electoralVotesReceived
Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4432fc81908fd90865822af1fa |
completed | April 19, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.