Triple
T23082697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Støren |
E575518
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object | Midtre Gauldal |
—
|
NE NERFINISHED |
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: Midtre Gauldal | Statement: [Støren, locatedInMunicipality, Midtre Gauldal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midtre Gauldal Context triple: [Støren, locatedInMunicipality, Midtre Gauldal]
-
A.
Midtre Gauldal
chosen
Midtre Gauldal is a rural municipality in Trøndelag county, Norway, known for its valleys, rivers, and traditional farming communities.
-
B.
Gauldalen
Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
-
C.
Gausdal
Gausdal is a rural municipality in southeastern Norway known for its agricultural landscape, forests, and outdoor recreational opportunities.
-
D.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
E.
Hallingdal
Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da239e48190ad041261c6b510a0 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:56 p.m.