Triple
T9625376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landessynode |
E232448
|
entity |
| Predicate | meetsIn |
P40
|
FINISHED |
| Object | Rhineland region |
E60266
|
NE 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: Rhineland region | Statement: [Landessynode, meetsIn, Rhineland region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhineland region Context triple: [Landessynode, meetsIn, Rhineland region]
-
A.
Rhineland
chosen
The Rhineland is a historically significant region in western Germany along the Rhine River, long contested as a strategic and economic heartland in European conflicts.
-
B.
Rhine-Weser region
The Rhine-Weser region is a historical area in western Germany associated with the early homeland and formation of the Frankish people.
-
C.
Rhine region
The Rhine region is a scenic cultural and wine-growing area along the Rhine River, known for its historic towns, castles, and river landscapes that attract many visitors.
-
D.
South Westphalia
South Westphalia is a region in western Germany known for its mixed industrial and rural character, encompassing parts of North Rhine-Westphalia including the Arnsberg area.
-
E.
Aachen region
The Aachen region is a cross-border area centered around the German city of Aachen, known for its historical significance, industry, and integration within the Euroregion Meuse-Rhine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afb67c88190aa170716f0033752 |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d182291c34819099f3f43769849c5d |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:10 p.m.