Triple
T17614152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvinnherad Municipality |
E429039
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ænes |
—
|
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: Ænes | Statement: [Kvinnherad Municipality, contains, Ænes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ænes Context triple: [Kvinnherad Municipality, contains, Ænes]
-
A.
Ænes
chosen
Ænes is a small village in Vestland county, Norway, situated in the municipality of Kvinnherad along the Hardangerfjord.
-
B.
Arne
Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
-
C.
Arne
Arne is a novella by Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson, often regarded as a key work in 19th-century Norwegian literature for its portrayal of rural life and psychological depth.
-
D.
Arnesson
Arnesson is a Scandinavian patronymic surname indicating descent from a father named Arne or a similar given name.
-
E.
Ornes
Ornes is a French village in the Meuse department that was completely destroyed during the Battle of Verdun in World War I and left as an uninhabited memorial site.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2fd96481908c9f3b566fca6907 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.