Triple
T23483740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asker municipality |
E570473
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Vollen |
—
|
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: Vollen | Statement: [Asker municipality, containsSettlement, Vollen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vollen Context triple: [Asker municipality, containsSettlement, Vollen]
-
A.
Vollen
chosen
Vollen is a locality within the municipality of Asker in Norway, known for its coastal setting along the Oslofjord.
-
B.
Volden
Volden is a small settlement in Norway located near the village of Vuku in Trøndelag county.
-
C.
Voskuil
Voskuil is a Dutch surname most notably associated with the writer J.J. Voskuil, known for his extensive autobiographical novels.
-
D.
Wollenberg
Wollenberg is the birth surname of American actress Marjorie Lord, known for her work in mid-20th-century film and television.
-
E.
Treuen
Treuen is a small town in the Vogtland region of Saxony, eastern Germany, known for its historic architecture and rural surroundings.
- 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.