Triple
T3145087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oppland |
E65743
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Valdres region |
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 region | Statement: [Oppland, contains, Valdres region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdres region Context triple: [Oppland, contains, Valdres region]
-
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.
Urseren-Goms region
The Urseren-Goms region is a high-alpine area in the central Swiss Alps known for its dramatic mountain landscapes, glacial valleys, and traditional Swiss villages.
-
D.
Setesdal region
The Setesdal region is a traditional valley area in southern Norway known for its distinctive folk culture, music, and well-preserved rural landscapes.
-
E.
Allgäu region
The Allgäu region is a picturesque area in southern Germany known for its alpine landscapes, traditional Bavarian culture, and famous fairy-tale castles.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235b6685c8190b88501d7b2ad0d25 |
completed | March 12, 2026, 3:40 a.m. |
Created at: March 8, 2026, 3:05 p.m.