Triple
T21545574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordmarka trail network |
E531613
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Maridalen |
—
|
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: Maridalen | Statement: [Nordmarka trail network, connectsTo, Maridalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maridalen Context triple: [Nordmarka trail network, connectsTo, Maridalen]
-
A.
Maridalen (partly)
chosen
Maridalen is a scenic valley and lake area on the northern outskirts of Oslo, known for its forests, hiking trails, and role as a key drinking water reservoir for the city.
-
B.
Molde Fjord
Molde Fjord is a Norwegian fjord near the town of Molde, known for its scenic coastal landscape and views of surrounding mountains and islands.
-
C.
Maridalsvannet
Maridalsvannet is the largest lake supplying drinking water to Oslo, Norway, and a popular nearby recreation area.
-
D.
Hurdalssjøen
Hurdalssjøen is a large freshwater lake in eastern Norway, known for its scenic surroundings and recreational activities such as swimming, fishing, and boating.
-
E.
Dalsfjorden
Dalsfjorden is a fjord in western Norway known for its steep surrounding mountains, deep waters, and small coastal settlements.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58e38808190888f3501cf4fff7c |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.