Triple
T3145389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mjøsa |
E65750
|
entity |
| Predicate | locatedNearTown |
P3883
|
FINISHED |
| Object |
Moelv
Moelv is a small Norwegian town in Innlandet county, known for its location near Lake Mjøsa and its role as a local industrial and transport hub.
|
E331587
|
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: Moelv | Statement: [Mjøsa, locatedNearTown, Moelv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moelv Context triple: [Mjøsa, locatedNearTown, Moelv]
-
A.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
B.
Bergshamra
Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
-
C.
Hynnekleiv
Hynnekleiv is a small village in the municipality of Froland in Agder county, southern Norway.
-
D.
Møysalen
Møysalen is a prominent mountain in northern Norway known for its rugged alpine scenery and popular hiking routes.
-
E.
Gryllefjord
Gryllefjord is a small coastal fishing village located on the island of Senja in northern Norway.
- 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: Moelv Triple: [Mjøsa, locatedNearTown, Moelv]
Generated description
Moelv is a small Norwegian town in Innlandet county, known for its location near Lake Mjøsa and its role as a local industrial and transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moelv Target entity description: Moelv is a small Norwegian town in Innlandet county, known for its location near Lake Mjøsa and its role as a local industrial and transport hub.
-
A.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
B.
Bergshamra
Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
-
C.
Hynnekleiv
Hynnekleiv is a small village in the municipality of Froland in Agder county, southern Norway.
-
D.
Møysalen
Møysalen is a prominent mountain in northern Norway known for its rugged alpine scenery and popular hiking routes.
-
E.
Gryllefjord
Gryllefjord is a small coastal fishing village located on the island of Senja in northern Norway.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f18e80819083be53c556d56947 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b2271961048190906b6fa25e4b560c |
completed | March 12, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b227becba08190b5e4b3dae277ce51 |
completed | March 12, 2026, 2:41 a.m. |
Created at: March 8, 2026, 3:05 p.m.