Triple
T18859329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drammensfjord |
E461266
|
entity |
| Predicate | hasCityOnShore |
P969
|
FINISHED |
| Object | Nedre Eiker |
E436799
|
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: Nedre Eiker | Statement: [Drammensfjord, hasCityOnShore, Nedre Eiker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nedre Eiker Context triple: [Drammensfjord, hasCityOnShore, Nedre Eiker]
-
A.
Nedre Eiker
chosen
Nedre Eiker is a former municipality in Buskerud county, Norway, known for its riverside settlements and industrial heritage along the Drammenselva river.
-
B.
Øvre Eiker
Øvre Eiker is a rural municipality in Buskerud county, Norway, known for its forests, rivers, and traditional agricultural landscape.
-
C.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
D.
Vålebru
Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
-
E.
Vesleåe
Vesleåe is a small river in Norway that serves as one of the tributaries feeding the mountain lake Gjende in Jotunheimen.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05fb800819098951ec134a1fa2a |
completed | April 20, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582a9f8e081909f241dfd171bdb58 |
completed | May 14, 2026, 8:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.