Triple
T10796017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miesbach district |
E254707
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kreuth |
E274900
|
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: Kreuth | Statement: [Miesbach district, contains, Kreuth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kreuth Context triple: [Miesbach district, contains, Kreuth]
-
A.
Kreuth
chosen
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
B.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
-
C.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
D.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
E.
Wörth
Wörth is the historical name of Roseninsel, a small, culturally significant island in Lake Starnberg in Bavaria, Germany.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73332dbfc8190904434846957b618 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1243b14081909d07ab0ebb32cc68 |
completed | April 27, 2026, 7:37 a.m. |
Created at: April 8, 2026, 9:17 p.m.