Triple
T13328485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillestrøm region |
E317503
|
entity |
| Predicate | hasPopulationCenter |
P2106
|
FINISHED |
| Object | Strømmen |
E695704
|
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: Strømmen | Statement: [Lillestrøm region, hasPopulationCenter, Strømmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strømmen Context triple: [Lillestrøm region, hasPopulationCenter, Strømmen]
-
A.
Strømmen
chosen
Strømmen is a town in Lillestrøm municipality in Viken county, Norway, known for its shopping mall Strømmen Storsenter and its historical industrial and railway heritage.
-
B.
Strömmen
Strömmen is the central waterway in Stockholm, Sweden, connecting Lake Mälaren with the Baltic Sea and flowing around the city’s historic core.
-
C.
Strond
Strond is a small coastal village on the island of Borðoy in the Faroe Islands.
-
D.
Støre
Støre is a Norwegian surname most prominently associated with Jonas Gahr Støre, the Prime Minister of Norway and leader of the Labour Party.
-
E.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992e4f908190a6f172bf910cffb8 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f329e148190a7741344b27ea663 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:30 p.m.