Triple
T786478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Norway |
E16813
|
entity |
| Predicate | containsValley |
P650
|
FINISHED |
| Object |
Valdres
Valdres is a scenic valley and traditional district in central southern Norway, known for its mountains, lakes, and rich cultural heritage.
|
E96299
|
NE FINISHED |
How this triple was built (4 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: [Eastern Norway, containsValley, Valdres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdres Context triple: [Eastern Norway, containsValley, Valdres]
-
A.
Orava
Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
-
B.
Dijla
Dijla is the Kurdish name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
-
C.
Jura
Jura is a remote, sparsely populated island in Scotland’s Inner Hebrides, known for its rugged mountains, large red deer population, and the Jura whisky distillery.
-
D.
Jura
Jura is a predominantly French-speaking canton in northwestern Switzerland known for its Jura Mountains, watchmaking tradition, and strong regional identity.
-
E.
Brigach
Brigach is a river in Germany that forms one of the two headstreams of the Danube.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Valdres Triple: [Eastern Norway, containsValley, Valdres]
Generated description
Valdres is a scenic valley and traditional district in central southern Norway, known for its mountains, lakes, and rich cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valdres Target entity description: Valdres is a scenic valley and traditional district in central southern Norway, known for its mountains, lakes, and rich cultural heritage.
-
A.
Orava
Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
-
B.
Dijla
Dijla is the Kurdish name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
-
C.
Jura
Jura is a remote, sparsely populated island in Scotland’s Inner Hebrides, known for its rugged mountains, large red deer population, and the Jura whisky distillery.
-
D.
Jura
Jura is a predominantly French-speaking canton in northwestern Switzerland known for its Jura Mountains, watchmaking tradition, and strong regional identity.
-
E.
Brigach
Brigach is a river in Germany that forms one of the two headstreams of the Danube.
- F. None of above. chosen
Provenance (5 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d7c2d488190a0c1802eb7c7491d |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a7883f3d98819082b01a9c57fe230c |
completed | March 4, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a78875f424819090d6e927864d39e0 |
completed | March 4, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:38 p.m.