Triple
T6426097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namdalen |
E128060
|
entity |
| Predicate | hasNotableRiver |
P165
|
FINISHED |
| Object | Namsen |
E594747
|
NE FINISHED |
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: Namsen | Statement: [Namdalen, hasNotableRiver, Namsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namsen Context triple: [Namdalen, hasNotableRiver, Namsen]
-
A.
Namsen
chosen
Namsen is a major river in Trøndelag county, Norway, renowned for its salmon fishing and central role in the Namdalen region.
-
B.
Finnsnes
Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
-
C.
Nesset
Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
-
D.
Namsenfjorden
Namsenfjorden is a fjord in Trøndelag county, Norway, known for its scenic coastal landscape and connection to the Namsen River near the town of Namsos.
-
E.
Rødberg
Rødberg is a small village in southern Norway that serves as the administrative center of Nore og Uvdal municipality and a local hub for hydroelectric power production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691f944c81909d4e5d8ef9e494b6 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6538a8e9c81909c406235117e0c87 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:43 p.m.