Triple
T6426075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namdalen |
E128060
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Nærøy
Nærøy is a former coastal municipality in Trøndelag county, Norway, known for its fishing communities and island-dotted landscape.
|
E596284
|
NE FINISHED |
How this triple was built (4 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: Nærøy | Statement: [Namdalen, containsMunicipality, Nærøy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nærøy Context triple: [Namdalen, containsMunicipality, Nærøy]
-
A.
Geiranger
Geiranger is a small Norwegian village in the Sunnmøre region of Møre og Romsdal, renowned as a popular tourist destination surrounded by dramatic fjord and mountain scenery.
-
B.
Ofotfjord
Ofotfjord is a dramatic fjord in northern Norway near Narvik, known for its strategic importance and as a key site of naval operations during World War II.
-
C.
Glåma
Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
-
D.
Kåfjord
Kåfjord is a fjord in northern Norway known historically as a World War II anchorage site for the German battleship Tirpitz.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nærøy Triple: [Namdalen, containsMunicipality, Nærøy]
Generated description
Nærøy is a former coastal municipality in Trøndelag county, Norway, known for its fishing communities and island-dotted landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nærøy Target entity description: Nærøy is a former coastal municipality in Trøndelag county, Norway, known for its fishing communities and island-dotted landscape.
-
A.
Geiranger
Geiranger is a small Norwegian village in the Sunnmøre region of Møre og Romsdal, renowned as a popular tourist destination surrounded by dramatic fjord and mountain scenery.
-
B.
Ofotfjord
Ofotfjord is a dramatic fjord in northern Norway near Narvik, known for its strategic importance and as a key site of naval operations during World War II.
-
C.
Glåma
Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
-
D.
Kåfjord
Kåfjord is a fjord in northern Norway known historically as a World War II anchorage site for the German battleship Tirpitz.
-
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. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69c6559d06c8819082cad37d62fcb3a3 |
completed | March 27, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6564e01748190a3a12abcc0dfd30f |
completed | March 27, 2026, 10:05 a.m. |
Created at: March 22, 2026, 4:43 p.m.