Triple
T15751638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reisaelva |
E381859
|
entity |
| Predicate | hasNameInNorwegian |
P24009
|
FINISHED |
| Object | Reisaelva |
E381859
|
NE FINISHED |
How this triple was built (2 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: Reisaelva | Statement: [Reisaelva, hasNameInNorwegian, Reisaelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reisaelva Context triple: [Reisaelva, hasNameInNorwegian, Reisaelva]
-
A.
Reisaelva
chosen
Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
-
B.
Trysilelva
Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
-
C.
Sauarelva
Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
-
D.
Råna
Råna is a prominent mountain in western Norway known for its scenic alpine landscapes and hiking opportunities.
-
E.
Andselva
Andselva is a river in northern Norway known for flowing through Målselv municipality and supporting popular salmon fishing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa129a6448190affdee9d0b1362bc |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:47 a.m.