Triple
T33481513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince-Bishop of Osnabrück |
E857484
|
entity |
| Predicate | wasTypicalOf |
P12230
|
FINISHED |
| Object | ecclesiastical principalities in the Empire |
—
|
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 principalities in the Empire | Statement: [Prince-Bishop of Osnabrück, wasTypicalOf, ecclesiastical principalities in the Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasTypicalOf Context triple: [Prince-Bishop of Osnabrück, wasTypicalOf, ecclesiastical principalities in the Empire]
-
A.
typicalIn
chosen
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
B.
typicalPerformance
Indicates the usual or characteristic level at which an entity performs under normal conditions.
-
C.
hasTypicalAppearance
Indicates that an entity exhibits the standard or commonly expected visual form or look associated with its kind.
-
D.
typicalStar
Indicates that an entity is a representative or characteristic example of stars in general, exhibiting the usual or expected properties of stars.
-
E.
typicalCast
Indicates that the associated entities form the usual or characteristic cast of characters commonly appearing in a given work or type of work.
- 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_69f3497472508190b300ebd3fd402367 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52fd4bc8190a18d0cd7dad5c6bf |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:38 a.m.