Triple
T33926406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beschlüsse der Landessynode der Evangelischen Landeskirche in Württemberg |
E869762
|
entity |
| Predicate | hatBezugZu |
P177915
|
FINISHED |
| Object | Grundordnung der Evangelischen Landeskirche in Württemberg |
—
|
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: Grundordnung der Evangelischen Landeskirche in Württemberg | Statement: [Beschlüsse der Landessynode der Evangelischen Landeskirche in Württemberg, hatBezugZu, Grundordnung der Evangelischen Landeskirche in Württemberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hatBezugZu Context triple: [Beschlüsse der Landessynode der Evangelischen Landeskirche in Württemberg, hatBezugZu, Grundordnung der Evangelischen Landeskirche in Württemberg]
-
A.
hatAmtsbezeichnungIn
Indicates that an entity holds or is associated with a specific official title or designation within a given context.
-
B.
hatAmtseidNach
Indicates that one entity has followed or succeeded another in time or sequence.
-
C.
hatTeil
Indicates that something is a part or component of something else.
-
D.
trägtBeiZu
Indicates that one entity contributes to, promotes, or plays a role in bringing about a certain state, effect, or outcome in another.
-
E.
hatOrt
Indicates that something is located at or associated with a specific place or location.
- F. None of above. chosen
Provenance (4 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f7064d37388190993b2a7305a02b9f |
completed | May 3, 2026, 8:24 a.m. |
Created at: May 1, 2026, 1:49 a.m.