Triple
T18114100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS Fæmund II |
E433556
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Elgå |
—
|
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: Elgå | Statement: [MS Fæmund II, connectsTo, Elgå]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elgå Context triple: [MS Fæmund II, connectsTo, Elgå]
-
A.
Elgå
chosen
Elgå is a small lakeside village in eastern Norway, known as a gateway to Femundsmarka National Park and a base for outdoor activities around Lake Femunden.
-
B.
Birkenes
Birkenes is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and small villages.
-
C.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
D.
Borgå
Borgå is a historic coastal city in southern Finland, known in Finnish as Porvoo and noted for its well-preserved wooden old town and medieval cathedral.
-
E.
Kautokeino
Kautokeino is a large, sparsely populated municipality in Norway’s Finnmark region, known as a cultural center of the Sámi people and reindeer herding.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd4c7888190b85c39decdb0333f |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.