Triple
T18840332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringebu village |
E460775
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Vålebru |
—
|
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: Vålebru | Statement: [Ringebu village, hasAlternativeName, Vålebru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vålebru Context triple: [Ringebu village, hasAlternativeName, Vålebru]
-
A.
Vålebru
chosen
Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
-
B.
Vartdal
Vartdal is a small village in Ørsta Municipality in Møre og Romsdal county, Norway, situated along the Vartdalsfjorden on the western coast.
-
C.
Verdalsøra
Verdalsøra is a small town in Trøndelag county, Norway, known for its riverside setting and role as a local commercial and service hub.
-
D.
Glåma
Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
-
E.
Finnsnes
Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8e8f57081909edbbcaf56189816 |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.