Triple
T4790514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orkland |
E106588
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Lensvik
Lensvik is a small village in Trøndelag county, Norway, situated along the Trondheimsfjord and known historically for its fruit cultivation.
|
E470029
|
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: Lensvik | Statement: [Orkland, hasSettlement, Lensvik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lensvik Context triple: [Orkland, hasSettlement, Lensvik]
-
A.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
B.
Ullensvang
Ullensvang is a scenic municipality in Vestland county, Norway, known for its fruit orchards, fjord landscapes, and location along the Hardangerfjord.
-
C.
Namdalseid
Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
-
D.
Thamerdal
Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
-
E.
Porsanger
Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
- 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: Lensvik Triple: [Orkland, hasSettlement, Lensvik]
Generated description
Lensvik is a small village in Trøndelag county, Norway, situated along the Trondheimsfjord and known historically for its fruit cultivation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lensvik Target entity description: Lensvik is a small village in Trøndelag county, Norway, situated along the Trondheimsfjord and known historically for its fruit cultivation.
-
A.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
B.
Ullensvang
Ullensvang is a scenic municipality in Vestland county, Norway, known for its fruit orchards, fjord landscapes, and location along the Hardangerfjord.
-
C.
Namdalseid
Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
-
D.
Thamerdal
Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
-
E.
Porsanger
Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65dce6888190a0b1bdf416fb62b9 |
completed | March 20, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43e8f9dc8190b4e932d179e2f097 |
completed | March 21, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69be4603d32c819092c3c48a3ba41833 |
completed | March 21, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be472cd6b88190bc998340ffd2b66e |
completed | March 21, 2026, 7:22 a.m. |
Created at: March 20, 2026, 1:22 p.m.