Triple
T19555347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randselva |
E489292
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Randselva (Norwegian) |
—
|
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: Randselva (Norwegian) | Statement: [Randselva, hasNameInLanguage, Randselva (Norwegian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randselva (Norwegian) Context triple: [Randselva, hasNameInLanguage, Randselva (Norwegian)]
-
A.
Randselva
chosen
Randselva is a river in eastern Norway that drains into Randsfjorden and is known for flowing through the Hønefoss area.
-
B.
Hellelandselva river
Hellelandselva river is a watercourse in southwestern Norway that flows through the municipality of Eigersund in Rogaland county.
-
C.
Rombakselva river
The Rombakselva river is a watercourse in northern Norway that flows through the Rombaksbotn area before emptying into the inner part of the Ofotfjord.
-
D.
Steinsdalselva
Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
-
E.
Sandvikselva
Sandvikselva is a river in Norway that flows through the town of Sandvika in Bærum, just west of Oslo.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d335f888190abfc5ba974d3c65e |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:42 p.m.