Triple
T12903507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elector of Saxony |
E308668
|
entity |
| Predicate | lostElectoralDignityIn |
P105290
|
FINISHED |
| Object | 1547 |
—
|
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: 1547 | Statement: [Elector of Saxony, lostElectoralDignityIn, 1547]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostElectoralDignityIn Context triple: [Elector of Saxony, lostElectoralDignityIn, 1547]
-
A.
lostPresidency
Indicates that an entity who previously held a presidency position has ceased to hold that office, typically as a result of an election or other loss of power.
-
B.
lostPresidentialElection
Indicates that a candidate participated in a presidential election and was defeated rather than elected president.
-
C.
electoralDignity
chosen
Indicates a relationship where an entity holds or is associated with an official electoral office, rank, or honor within a political or voting system.
-
D.
lostMostSeatsIn
Indicates that an entity experienced the greatest net loss of seats (such as legislative or representative positions) in a specified election or governing body compared to other entities.
-
E.
losesElectionFor
Indicates that one candidate is defeated by another candidate in a specific election for a particular office or position.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971820e008190bf8bc7c392c8bcbb |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:40 p.m.