Triple
T18113730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lier |
E433544
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Lierelva |
—
|
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: Lierelva | Statement: [Lier, hasRiver, Lierelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lierelva Context triple: [Lier, hasRiver, Lierelva]
-
A.
Lierelva
chosen
Lierelva is a river in Norway that flows through Lier municipality before joining the larger Drammenselva river.
-
B.
Lærdalselvi
Lærdalselvi is a renowned salmon river in western Norway, flowing through the Lærdal valley to the Sognefjord and known for both its fishing and scenic landscape.
-
C.
Moldeelva
Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
-
D.
Krokstadelva
Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
-
E.
Fykseelva
Fykseelva is a river flowing through the municipality of Kvam in Vestland county, western Norway, known for its scenic valley and salmon fishing.
- 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.