Triple
T15532019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giske |
E370242
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Giske (island) |
E1153636
|
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: Giske (island) | Statement: [Giske, hasIsland, Giske (island)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giske (island) Context triple: [Giske, hasIsland, Giske (island)]
-
A.
Giske (island)
chosen
Giske (island) is a small, low-lying island in Møre og Romsdal county, Norway, known for its historic stone church and role in Viking-era history.
-
B.
Hisingen island
Hisingen island is Sweden’s fifth-largest island, located in Gothenburg and known as a major urban and industrial area within the city.
-
C.
Helgøya
Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
-
D.
Eigerøy island
Eigerøy island is a coastal island in southwestern Norway known for its rugged landscape, fishing communities, and proximity to the town of Egersund.
-
E.
Rolvsøy island
Rolvsøy island is a Norwegian island in Østfold county known for its residential communities and proximity to the city of Fredrikstad.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414877d88190804ee76566004e13 |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5e82a48190bb0a10ebc2412129 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:06 a.m.