Triple
T21963519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kløfta Station |
E542397
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kløfta |
—
|
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: Kløfta | Statement: [Kløfta Station, locatedIn, Kløfta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kløfta Context triple: [Kløfta Station, locatedIn, Kløfta]
-
A.
Kløfta
chosen
Kløfta is a village in Ullensaker municipality in Viken county, Norway, known as a residential and transport hub northeast of Oslo.
-
B.
Glacier de Freydane
Glacier de Freydane is a mountain glacier in the Belledonne range of the French Alps, known for its high-altitude cirque setting and retreating ice.
-
C.
Folgefonna
Folgefonna is one of Norway’s largest glacier systems, covering much of the Folgefonna peninsula in Vestland county and forming a prominent natural landmark in western Norway.
-
D.
Múlafossur
Múlafossur is a dramatic coastal waterfall in the Faroe Islands, famous for plunging from cliffs near the village of Gásadalur directly into the North Atlantic Ocean.
-
E.
Nærøy
Nærøy is a former coastal municipality in Trøndelag county, Norway, known for its fishing communities and island-dotted landscape.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12458e4488190a04f8d3958854b49 |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.