Triple
T21312142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorma |
E525365
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Minnesund |
—
|
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: Minnesund | Statement: [Vorma, flowsThrough, Minnesund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minnesund Context triple: [Vorma, flowsThrough, Minnesund]
-
A.
Minnesund
chosen
Minnesund is a small village in Eidsvoll Municipality in Norway, situated at the southern end of Lake Mjøsa and known as a key transport junction.
-
B.
Sundet
Sundet is the main town and local hub of Eidsvoll municipality in Norway, serving as its commercial and service center.
-
C.
Follebu
Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
-
D.
Namdalseid
Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
-
E.
Sennevika
Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dca66ac8190a5f0a372a9bc25a7 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:22 p.m.