Triple
T23483745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asker municipality |
E570473
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Filtvet |
—
|
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: Filtvet | Statement: [Asker municipality, containsSettlement, Filtvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filtvet Context triple: [Asker municipality, containsSettlement, Filtvet]
-
A.
Filtvet
chosen
Filtvet is a small village in the former municipality of Hurum in Viken county, Norway, known for its coastal location along the Oslofjord.
-
B.
Flen
Flen is a small Swedish town known as the administrative center of Flen Municipality in the province of Södermanland.
-
C.
Veitvet
Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
-
D.
Vilters
Vilters is a locality within the Swiss municipality of Vilters-Wangs in the canton of St. Gallen.
-
E.
Fuhse
Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a751e6a08190a42c36722275d5d3 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.