Triple
T22962405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamle Bybro |
E570936
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Nidelva |
E567375
|
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: Nidelva | Statement: [Gamle Bybro, crosses, Nidelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nidelva Context triple: [Gamle Bybro, crosses, Nidelva]
-
A.
Nidelva
chosen
Nidelva is the main river flowing through Trondheim, Norway, known for its scenic bends, historic waterfront buildings, and central role in the city’s landscape.
-
B.
Nidelva river
Nidelva river is a river in southern Norway that flows through the county of Agder, including the municipality of Froland, before reaching the city of Arendal and the Skagerrak coast.
-
C.
Hunnselva
Hunnselva is a river in Innlandet county, Norway, flowing through the town of Raufoss and contributing to the local industrial and natural landscape.
-
D.
Solbergelva
Solbergelva is a village in Viken county, Norway, situated along the Drammenselva river and functioning largely as a residential suburb of Drammen.
-
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 (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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f594fc8190816418486b798198 |
completed | April 29, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5daa149c8190aa95908bd6dd8767 |
completed | May 19, 2026, 12:55 p.m. |
Created at: April 17, 2026, 3:47 p.m.