Triple
T17388914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etne Municipality |
E422763
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Etneelva
Etneelva is a river in Etne Municipality in Vestland county, western Norway, known for flowing through a scenic valley and supporting local salmon fishing.
|
E1267203
|
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: Etneelva | Statement: [Etne Municipality, hasRiver, Etneelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etneelva Context triple: [Etne Municipality, hasRiver, Etneelva]
-
A.
Riopelle
Riopelle is a surname most notably associated with Canadian painter and sculptor Jean-Paul Riopelle, a leading figure in abstract art.
-
B.
Ranaelva
Ranaelva is a river in Norway known for its natural landscapes and freshwater ecosystems.
-
C.
Otaranta
Otaranta is a residential and campus area within Otaniemi in Espoo, Finland, known for its student housing and proximity to Aalto University.
-
D.
Arar
Arar is a city in northern Saudi Arabia that serves as the capital of the Northern Borders Region and a regional center for trade and administration.
-
E.
Elsa River
The Elsa River is a watercourse in Tuscany, central Italy, that flows through towns such as Certaldo before joining the Arno River.
- 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: Etneelva Triple: [Etne Municipality, hasRiver, Etneelva]
Generated description
Etneelva is a river in Etne Municipality in Vestland county, western Norway, known for flowing through a scenic valley and supporting local salmon fishing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Etneelva Target entity description: Etneelva is a river in Etne Municipality in Vestland county, western Norway, known for flowing through a scenic valley and supporting local salmon fishing.
-
A.
Riopelle
Riopelle is a surname most notably associated with Canadian painter and sculptor Jean-Paul Riopelle, a leading figure in abstract art.
-
B.
Ranaelva
Ranaelva is a river in Norway known for its natural landscapes and freshwater ecosystems.
-
C.
Otaranta
Otaranta is a residential and campus area within Otaniemi in Espoo, Finland, known for its student housing and proximity to Aalto University.
-
D.
Arar
Arar is a city in northern Saudi Arabia that serves as the capital of the Northern Borders Region and a regional center for trade and administration.
-
E.
Elsa River
The Elsa River is a watercourse in Tuscany, central Italy, that flows through towns such as Certaldo before joining the Arno River.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8c718c81909cb20749aaf12897 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7f182488190a47260c417ccca22 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01a898ceb48190ba3d40c898b17158 |
completed | May 11, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a9183410819083c8239e3ce38ea2 |
completed | May 11, 2026, 10:02 a.m. |
Created at: April 10, 2026, 5:45 a.m.