Triple
T13808535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristians amt |
E331820
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Valdres |
E96299
|
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: Valdres | Statement: [Kristians amt, contains, Valdres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdres Context triple: [Kristians amt, contains, Valdres]
-
A.
Valdres
chosen
Valdres is a scenic valley and traditional district in central southern Norway, known for its mountains, lakes, and rich cultural heritage.
-
B.
Surselva region
The Surselva region is a mountainous area in the canton of Graubünden, Switzerland, known for its Romansh-speaking communities and Alpine landscapes.
-
C.
Lesja valley
Lesja valley is a rural Norwegian valley known for its mountainous landscapes, traditional farming communities, and location within the inland region of Lesja municipality in Innlandet county.
-
D.
Steyrtal
Steyrtal is a scenic valley region in Upper Austria known for the Steyr River, traditional villages, and forested alpine landscapes.
-
E.
Traun valley
Traun valley is a river valley in Upper Austria shaped by the Traun River, encompassing towns such as Leonding and forming part of the greater Linz metropolitan area.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026eae8481908b8880635e6a9152 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8dc1ec0819098c4f32eb3991613 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:12 p.m.