Triple
T12494945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hvaler |
E298659
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Asmaløy |
E674507
|
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: Asmaløy | Statement: [Hvaler, hasPart, Asmaløy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asmaløy Context triple: [Hvaler, hasPart, Asmaløy]
-
A.
Asmaløy
chosen
Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
-
B.
Dillingøy
Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
-
C.
Lauvøy
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
-
D.
Rolvsøy
Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
-
E.
Måløy
Måløy is a coastal town in western Norway known as a key fishing port and regional commercial center.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de4089c8190917a45365e641437 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6718ad25c8190b4d0d51d48c070dd |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.