Triple
T38181701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John George, Elector of Brandenburg |
E1005182
|
entity |
| Predicate | realm type |
P15837
|
FINISHED |
| Object | prince-electorate |
—
|
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: prince-electorate | Statement: [John George, Elector of Brandenburg, realm type, prince-electorate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realm type Context triple: [John George, Elector of Brandenburg, realm type, prince-electorate]
-
A.
realmType
chosen
Indicates the classification or category of a realm, specifying what kind or type of realm it is.
-
B.
realmName
Indicates the designated name or title assigned to a particular realm or domain.
-
C.
realm
Indicates that one entity is a domain, sphere of influence, or area of control associated with another entity.
-
D.
realmTypeObservedFrom
Indicates that the type or category of a realm is determined or identified based on observations made from a particular source or viewpoint.
-
E.
realmAlsoCalled
Indicates that a realm is known or referred to by an alternative name or alias.
- 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_69f76dbc22c481908139b694ffde7a0c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:29 p.m.