Triple
T20571565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Sayn |
E505109
|
entity |
| Predicate | hasSeat |
P3522
|
FINISHED |
| Object | Altenkirchen |
—
|
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: Altenkirchen | Statement: [County of Sayn, hasSeat, Altenkirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altenkirchen Context triple: [County of Sayn, hasSeat, Altenkirchen]
-
A.
Altenkirchen
chosen
Altenkirchen is a small town in the state of Rhineland-Palatinate in western Germany, known as a local administrative and commercial center in the Westerwald region.
-
B.
Kaldenkirchen
Kaldenkirchen is a town in western Germany near the Dutch border, known as a key cross-border transport point with direct access to major motorway routes.
-
C.
Altenau
Altenau is a small town in Germany’s Harz Mountains, historically known as a mining and spa resort surrounded by dense forests and mountain landscapes.
-
D.
Umkirch
Umkirch is a small municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
-
E.
Lenzkirch
Lenzkirch is a small spa and holiday town in Germany’s Black Forest region, known for its scenic landscapes and outdoor recreation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a905b1288190bbad9aa14362bb97 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.