Triple
T10540012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allgäu Alps |
E248669
|
entity |
| Predicate | containsValley |
P650
|
FINISHED |
| Object | Oberstdorf valley |
E231237
|
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: Oberstdorf valley | Statement: [Allgäu Alps, containsValley, Oberstdorf valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberstdorf valley Context triple: [Allgäu Alps, containsValley, Oberstdorf valley]
-
A.
Tegernsee Valley
Tegernsee Valley is a picturesque alpine valley in Bavaria, Germany, known for its scenic lake, surrounding mountains, and popular spa and holiday resorts.
-
B.
Karwendeltal
Karwendeltal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, hiking trails, and unspoiled natural landscapes.
-
C.
Oberstdorf
chosen
Oberstdorf is a renowned alpine resort town in southern Germany known for skiing, ski jumping, and hiking amid dramatic mountain scenery.
-
D.
Gastein Valley
Gastein Valley is a renowned alpine valley in Austria famous for its spa towns, thermal springs, and skiing within the Hohe Tauern mountain range.
-
E.
Kleinwalsertal
Kleinwalsertal is a remote Austrian alpine valley known for its scenic mountain landscapes, ski resorts, and unique road access only through 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a582be48190856c6f272eea4dcf |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b23b2988190b536d5ecb76298ff |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:32 p.m.