Triple
T23080928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilleaker |
E575468
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Lysakerelva |
—
|
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: Lysakerelva | Statement: [Lilleaker, hasRiver, Lysakerelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lysakerelva Context triple: [Lilleaker, hasRiver, Lysakerelva]
-
A.
Lysakerelva
chosen
Lysakerelva is a river in the Oslo area of Norway that forms part of the boundary between the municipalities of Oslo and Bærum and is known for its waterfalls, hiking paths, and historical industrial sites.
-
B.
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.
-
C.
Porsgrunnselva
Porsgrunnselva is a river in Telemark, Norway, flowing through the town of Porsgrunn and forming part of the larger Skienselva river system.
-
D.
Steinsdalselva
Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
-
E.
Stordalselva
Stordalselva is a river in the municipality of Åfjord in Trøndelag county, Norway, known for flowing through forested valleys and supporting local 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c67e06881908d24d6267bb49553 |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.