Triple
T32964822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bildungs- und Diakoniearbeit der Landeskirche |
E843340
|
entity |
| Predicate | wirdGetragenVon |
P18929
|
FINISHED |
| Object | evangelische Landeskirche |
—
|
NE NERFINISHED |
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: evangelische Landeskirche | Statement: [Bildungs- und Diakoniearbeit der Landeskirche, wirdGetragenVon, evangelische Landeskirche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wirdGetragenVon Context triple: [Bildungs- und Diakoniearbeit der Landeskirche, wirdGetragenVon, evangelische Landeskirche]
-
A.
typicallyWornBy
Indicates that something (such as an item or garment) is most commonly or characteristically worn by a particular type of person or group.
-
B.
temporarilyWornBy
Indicates that an item is being worn by an entity for a limited or non-permanent period of time.
-
C.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
D.
titrePortéPar
chosen
Indicates that a specific title is borne or held by a given entity.
-
E.
carriedBy
Indicates that one entity is physically supported and transported by another entity.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1a02b5881908dcf3c96a1e6d800 |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:21 a.m.