Triple
T13953824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Femundsmarka National Park |
E335602
|
entity |
| Predicate | hasWaterBody |
P165
|
FINISHED |
| Object |
Ljøsnåa
Ljøsnåa is a river or stream located within Norway’s Femundsmarka National Park, known for its remote, pristine wilderness.
|
E1086634
|
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: Ljøsnåa | Statement: [Femundsmarka National Park, hasWaterBody, Ljøsnåa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ljøsnåa Context triple: [Femundsmarka National Park, hasWaterBody, Ljøsnåa]
-
A.
Kjeldebotn
Kjeldebotn is a small village in northern Norway that forms part of the municipality of Ballangen in Nordland county.
-
B.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
-
C.
Finnvollheia
Finnvollheia is a mountain that forms the highest point in the Fosen district of Trøndelag, Norway.
-
D.
Asmaløy
Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
-
E.
Verdalsøra
Verdalsøra is a small town in Trøndelag county, Norway, known for its riverside setting and role as a local commercial and service hub.
- 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: Ljøsnåa Triple: [Femundsmarka National Park, hasWaterBody, Ljøsnåa]
Generated description
Ljøsnåa is a river or stream located within Norway’s Femundsmarka National Park, known for its remote, pristine wilderness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ljøsnåa Target entity description: Ljøsnåa is a river or stream located within Norway’s Femundsmarka National Park, known for its remote, pristine wilderness.
-
A.
Kjeldebotn
Kjeldebotn is a small village in northern Norway that forms part of the municipality of Ballangen in Nordland county.
-
B.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
-
C.
Finnvollheia
Finnvollheia is a mountain that forms the highest point in the Fosen district of Trøndelag, Norway.
-
D.
Asmaløy
Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
-
E.
Verdalsøra
Verdalsøra is a small town in Trøndelag county, Norway, known for its riverside setting and role as a local commercial and service hub.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192d09e481909ba3b7522cf661a6 |
completed | May 7, 2026, 10:58 p.m. |
| NEDg | Description generation | batch_69fd2315cf6881908fc83b273c966cae |
completed | May 7, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd238d6a7c8190980388e9027e3a72 |
completed | May 7, 2026, 11:43 p.m. |
Created at: April 9, 2026, 10:17 p.m.