Triple
T10796012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miesbach district |
E254707
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tegernsee |
E42425
|
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: Tegernsee | Statement: [Miesbach district, contains, Tegernsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tegernsee Context triple: [Miesbach district, contains, Tegernsee]
-
A.
Tegernsee
chosen
Tegernsee is a picturesque alpine lake in southern Germany renowned for its clear waters, surrounding mountains, and popular spa and resort towns.
-
B.
Königssee
Königssee is a picturesque alpine lake in southeastern Germany, renowned for its emerald-green waters, steep surrounding mountains, and status as one of the cleanest lakes in the country.
-
C.
Wolfgangsee
Wolfgangsee is a picturesque alpine lake in Austria renowned for its clear waters, surrounding mountains, and popular lakeside resort towns such as St. Wolfgang and St. Gilgen.
-
D.
Schliersee
Schliersee is a picturesque lake and town in the Bavarian Alps of southern Germany, known for its scenic mountain setting and outdoor recreation.
-
E.
Alpsee
Alpsee is a picturesque alpine lake in Bavaria, Germany, renowned for its clear waters and scenic setting near the royal castles of Neuschwanstein and Hohenschwangau.
- 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_69e55621a88c8190b9611bf9e3b307de |
completed | April 19, 2026, 10:24 p.m. |
Created at: April 8, 2026, 9:17 p.m.