Triple
T18113252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sel |
E433533
|
entity |
| Predicate | traversedByRiver |
P165
|
FINISHED |
| Object | Sjoa |
—
|
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: Sjoa | Statement: [Sel, traversedByRiver, Sjoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sjoa Context triple: [Sel, traversedByRiver, Sjoa]
-
A.
Sjoa
chosen
Sjoa is a small village in Innlandet county, Norway, known for its location at the confluence of rivers and as a popular center for whitewater rafting and outdoor activities.
-
B.
Jordal
Jordal is a neighborhood in Oslo, Norway, known for its sports facilities and ice hockey heritage.
-
C.
Djøf
Djøf is a Danish professional organization and trade union representing academics and professionals in law, economics, political science, and related social sciences.
-
D.
Smedvig
Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
-
E.
Kvernes
Kvernes is a village and historic parish area in Averøy Municipality in Møre og Romsdal county, Norway, known for its cultural heritage and scenic coastal landscape.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.