Triple
T6013435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauldalen |
E133888
|
entity |
| Predicate | majorSettlement |
P316
|
FINISHED |
| Object |
Støren
Støren is a village in Trøndelag county, Norway, serving as a local commercial and transportation hub in the Gauldalen valley.
|
E575518
|
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: Støren | Statement: [Gauldalen, majorSettlement, Støren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Støren Context triple: [Gauldalen, majorSettlement, Støren]
-
A.
Støre
Støre is a Norwegian surname most prominently associated with Jonas Gahr Støre, the Prime Minister of Norway and leader of the Labour Party.
-
B.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
-
C.
Storlien
Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
-
D.
Sæbø
Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
-
E.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
- 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: Støren Triple: [Gauldalen, majorSettlement, Støren]
Generated description
Støren is a village in Trøndelag county, Norway, serving as a local commercial and transportation hub in the Gauldalen valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Støren Target entity description: Støren is a village in Trøndelag county, Norway, serving as a local commercial and transportation hub in the Gauldalen valley.
-
A.
Støre
Støre is a Norwegian surname most prominently associated with Jonas Gahr Støre, the Prime Minister of Norway and leader of the Labour Party.
-
B.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
-
C.
Storlien
Storlien is a village and ski resort in central Sweden near the Norwegian border, known for its winter sports and cross-border rail connections.
-
D.
Sæbø
Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
-
E.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f528acc8190bc6943d812460b57 |
completed | March 22, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e985f34819091d28debdd5a2950 |
completed | March 23, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69c1c27875348190a9239c1bfff02c5b |
completed | March 23, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1c67eeb908190abaa591db960ae9d |
completed | March 23, 2026, 11:02 p.m. |
Created at: March 22, 2026, 4:06 p.m.