Triple
T20596621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikersund |
E506064
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | Modum |
—
|
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: Modum | Statement: [Vikersund, municipality, Modum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modum Context triple: [Vikersund, municipality, Modum]
-
A.
Modum
chosen
Modum is a municipality in Buskerud, Norway, known for its rural landscapes, historic industrial sites, and recreational areas such as the Vikersund ski flying hill.
-
B.
Moudon
Moudon is a historic town and former district capital in the canton of Vaud, Switzerland, known for its medieval old town and location in the Broye valley.
-
C.
Meliden
Meliden is a village in Denbighshire, North Wales, situated inland from the coastal town of Prestatyn.
-
D.
Modimolle
Modimolle is a town in South Africa’s Limpopo province known as a commercial and agricultural hub and a gateway to the surrounding Waterberg bushveld and wildlife areas.
-
E.
Mosen
Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1bea1c81908b85f38b2a471285 |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:40 a.m.