Triple
T12903509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elector of Saxony |
E308668
|
entity |
| Predicate | gainedElectoralDignityIn |
P46942
|
FINISHED |
| Object | 1356 |
—
|
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: 1356 | Statement: [Elector of Saxony, gainedElectoralDignityIn, 1356]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedElectoralDignityIn Context triple: [Elector of Saxony, gainedElectoralDignityIn, 1356]
-
A.
hasElectoralDignityIn
chosen
Indicates that an entity holds or possesses electoral authority, status, or office within a specified political or electoral jurisdiction.
-
B.
electedWith
Indicates that one entity attained an elected position or office together with, or as part of the same electoral outcome as, another entity.
-
C.
wasElectoralVehicleFor
Indicates that one entity served as the primary means, platform, or instrument through which another entity pursued electoral participation or gained electoral power.
-
D.
isUsuallyElectedFor
Indicates that an entity typically attains a position, role, or office through an election process.
-
E.
hasElectoralVotes
Indicates that a political entity (such as a state or district) possesses a specified number of votes in an electoral system used to choose an officeholder.
- 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.