Triple
T15751544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andørja |
E381857
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Å |
E1024611
|
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: Å | Statement: [Andørja, hasSettlement, Å]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Å Context triple: [Andørja, hasSettlement, Å]
-
A.
Å
Å is a letter used in several Scandinavian and other Northern European languages, representing a distinct vowel sound and appearing in alphabets such as Swedish, Danish, and Norwegian.
-
B.
Å
chosen
Å is a small, picturesque fishing village at the southern end of the Lofoten archipelago in Norway, known for its traditional rorbuer cabins and dramatic coastal scenery.
-
C.
ÅA
ÅA is the commonly used abbreviation for Åbo Akademi University, a Swedish-language university in Turku, Finland.
-
D.
Al
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
-
E.
AJ
AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876d48588190afec7722cca25633 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.