Triple
T23202832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Klaksvík |
E580364
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object | Kunoy |
—
|
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: Kunoy | Statement: [municipality of Klaksvík, containsIsland, Kunoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kunoy Context triple: [municipality of Klaksvík, containsIsland, Kunoy]
-
A.
Kunoy
chosen
Kunoy is a small, mountainous island in the Faroe Islands known for its dramatic cliffs, sparse population, and traditional fishing villages.
-
B.
Koyeti
Koyeti is a dialect of the Southern Valley Yokuts language traditionally spoken by Indigenous Yokuts people of California’s Central Valley.
-
C.
Maruim
Maruim is a municipality in the Brazilian state of Sergipe, located along the Sergipe River and known for its historical and regional cultural significance.
-
D.
Kambe
Kambe is one of the Mijikenda sub-groups of the coastal Bantu peoples of Kenya, known for their distinct language and cultural traditions.
-
E.
Natsushio
Natsushio was a Japanese Kagerō-class destroyer that served in the Imperial Japanese Navy during World War II.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907a8bb48190846802a24d33bccf |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.