Triple
T13521581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ofoten |
E322908
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Beisfjordelva |
E180870
|
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: Beisfjordelva | Statement: [Ofoten, hasRiver, Beisfjordelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beisfjordelva Context triple: [Ofoten, hasRiver, Beisfjordelva]
-
A.
Beisfjordelva river
chosen
Beisfjordelva river is a Norwegian river in Nordland county that flows through the Beisfjord area before emptying into the Ofotfjord.
-
B.
Tovdalselva
Tovdalselva is a major river in Southern Norway known for its scenic valley, salmon fishing, and role in the region’s natural and cultural landscape.
-
C.
Verdalselva
Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, 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.
Femundselva
Femundselva is a river in Norway that drains Lake Femunden and flows southward toward the Swedish border.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa3df0c8190804174695587f0ea |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8239c481909faf5a9c403b55f2 |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:44 p.m.