Triple
T15305461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karasjok village centre |
E365886
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Karasjohka river |
—
|
NE NERFINISHED |
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: Karasjohka river | Statement: [Karasjok village centre, locatedOnRiver, Karasjohka river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karasjohka river Context triple: [Karasjok village centre, locatedOnRiver, Karasjohka river]
-
A.
Karasjohka River
chosen
The Karasjohka River is a major river in northern Norway’s Finnmark region, known for flowing through the Sami municipality of Karasjok and forming part of the border with Finland.
-
B.
Akuta River
The Akuta River is a waterway located in Japan's Ibaraki Prefecture, contributing to the region's local drainage and landscape.
-
C.
Kofarnihon River
The Kofarnihon River is a major river in Tajikistan that flows through the capital city, Dushanbe, and serves as an important source of water for the region.
-
D.
Muko River
The Muko River is a river in Japan’s Hyōgo Prefecture that flows through urban areas such as Takarazuka before joining larger water systems near Osaka Bay.
-
E.
Karura River
Karura River is a watercourse flowing through Nairobi’s Karura Forest, contributing to the forest’s rich biodiversity and scenic natural environment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
Created at: April 10, 2026, 3:16 a.m.