Triple
T4742484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karwendel |
E105276
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Isar Valley |
E306282
|
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: Isar Valley | Statement: [Karwendel, borderedBy, Isar Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isar Valley Context triple: [Karwendel, borderedBy, Isar Valley]
-
A.
Isar valley
chosen
The Isar valley is a scenic river valley in Bavaria, Germany, known for its picturesque landscapes, forests, and traditional towns along the Isar River.
-
B.
Donau-Ries
Donau-Ries is a rural district in the Bavarian region of Swabia in southern Germany, known for its historic towns and scenic landscapes along the Danube and Ries crater area.
-
C.
Steigerwald
Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
-
D.
Tauber Valley
The Tauber Valley is a picturesque river valley in southern Germany known for its medieval towns, vineyards, and scenic cycling and hiking routes.
-
E.
Isar
The Isar is a major river in the Austrian and German Alps that flows through cities such as Munich before joining the Danube.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a7153881909eac451fc7566d25 |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43af63c48190a8d2751de4e9eee7 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:19 p.m.