Triple
T3579214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molde |
E75759
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Moldeelva
Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
|
E370158
|
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: Moldeelva | Statement: [Molde, hasRiver, Moldeelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moldeelva Context triple: [Molde, hasRiver, Moldeelva]
-
A.
Drammenselva
Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
-
B.
Glomma
Glomma is Norway’s longest and largest river, flowing through Eastern Norway before emptying into the Oslofjord.
-
C.
Lysakerelva
Lysakerelva is a river in the Oslo area of Norway that forms part of the boundary between the municipalities of Oslo and Bærum and is known for its waterfalls, hiking paths, and historical industrial sites.
-
D.
Nordre Ål
Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
-
E.
Nidelva river
Nidelva river is a river in southern Norway that flows through the county of Agder, including the municipality of Froland, before reaching the city of Arendal and the Skagerrak coast.
- 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: Moldeelva Triple: [Molde, hasRiver, Moldeelva]
Generated description
Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moldeelva Target entity description: Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
-
A.
Drammenselva
Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
-
B.
Glomma
Glomma is Norway’s longest and largest river, flowing through Eastern Norway before emptying into the Oslofjord.
-
C.
Lysakerelva
Lysakerelva is a river in the Oslo area of Norway that forms part of the boundary between the municipalities of Oslo and Bærum and is known for its waterfalls, hiking paths, and historical industrial sites.
-
D.
Nordre Ål
Nordre Ål is a residential district in the town of Lillehammer in Innlandet county, Norway.
-
E.
Nidelva river
Nidelva river is a river in southern Norway that flows through the county of Agder, including the municipality of Froland, before reaching the city of Arendal and the Skagerrak coast.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0defe14819095a337a840e33300 |
completed | March 8, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbc6bc948190a517639f5d79c0a3 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bc93f93c8190a23301340b08d76b |
completed | March 13, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f8033cd481909bc0e24fd9d86831 |
completed | March 13, 2026, 11:41 a.m. |
Created at: March 8, 2026, 3:21 p.m.