Triple
T13588812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial princes |
E324637
|
entity |
| Predicate | roleInImperialDiet |
P44656
|
FINISHED |
| Object | formed the College of Princes |
—
|
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: formed the College of Princes | Statement: [Imperial princes, roleInImperialDiet, formed the College of Princes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInImperialDiet Context triple: [Imperial princes, roleInImperialDiet, formed the College of Princes]
-
A.
hasPositionInImperialDiet
chosen
Indicates that an entity holds or held a formal seat or role within the Imperial Diet.
-
B.
emperorRole
Indicates that an entity holds or fulfills the role, position, or office of an emperor in relation to another entity or context.
-
C.
roleInMonarchyPeriod
Indicates that an entity held a specific role or position during a defined period of a monarchy.
-
D.
imperialRepresentation
Indicates that one entity serves as the official representative or embodiment of an empire or imperial authority in relation to another entity.
-
E.
pre-imperialRole
Indicates that an entity held a particular role or position during a pre-imperial period, before the establishment of an empire or imperial rule.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.