Triple
T10428209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nedre Eiker |
E245840
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Krokstadelva |
E440446
|
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: Krokstadelva | Statement: [Nedre Eiker, containsSettlement, Krokstadelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krokstadelva Context triple: [Nedre Eiker, containsSettlement, Krokstadelva]
-
A.
Krokstadelva
chosen
Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
-
B.
Verdalselva
Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
-
C.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
D.
Steinkjerelva
Steinkjerelva is a river in Trøndelag county, Norway, that flows through the town of Steinkjer before emptying into the inner part of the Trondheimsfjord.
-
E.
Moldeelva
Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc374f6c8190a44b9da27be343e4 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:13 p.m.