Triple
T16507876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiental |
E400977
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Kandertal |
E768815
|
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: Kandertal | Statement: [Kiental, partOf, Kandertal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandertal Context triple: [Kiental, partOf, Kandertal]
-
A.
Kandertal
chosen
Kandertal is a scenic valley in southwestern Germany’s Black Forest region, known for its picturesque landscapes and the town of Kandern situated within it.
-
B.
Kellwassertal
Kellwassertal is a valley in Germany whose name is famously associated with the Late Devonian Kellwasser extinction events in geological history.
-
C.
Okertal
Okertal is a scenic valley in the Harz Mountains of Germany, known for its rugged rock formations, forests, and the Oker River running through it.
-
D.
Klausen
Klausen is a small historic town in South Tyrol, northern Italy, known for its picturesque Alpine setting and medieval charm.
-
E.
Gadertal
Gadertal is a valley in the Dolomites of northern Italy, known for its Ladin culture, alpine landscapes, and popular ski resorts.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e536e5c8190bef31ab979d2880a |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607e933c8190ae0572583b5a9cbf |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:14 a.m.