Triple
T13768428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadseløya |
E330810
|
entity |
| Predicate | separatedFrom |
P243
|
FINISHED |
| Object | Langøya |
E327147
|
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: Langøya | Statement: [Hadseløya, separatedFrom, Langøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langøya Context triple: [Hadseløya, separatedFrom, Langøya]
-
A.
Langøya
chosen
Langøya is a large island in the Vesterålen archipelago in northern Norway, known for its dramatic coastal landscapes and fishing communities.
-
B.
Storøya
Storøya is an island located in the lake Tyrifjorden in Norway.
-
C.
Rolløya
Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
-
D.
Karmøy
Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
-
E.
Spjærøy
Spjærøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a4fffa7c81909bcc833b44ddf66f |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 9, 2026, 10:10 p.m.