Triple
T13147387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torsken |
E312374
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | island of Senja |
E1050172
|
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: island of Senja | Statement: [Torsken, locatedOn, island of Senja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: island of Senja Context triple: [Torsken, locatedOn, island of Senja]
-
A.
island of Senja
The island of Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, deep fjords, and picturesque fishing villages above the Arctic Circle.
-
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.
Senja island
chosen
Senja island is Norway’s second-largest island, renowned for its dramatic coastal scenery, rugged mountains, and picturesque fishing villages above the Arctic Circle.
-
D.
Tromsøya island
Tromsøya island is a Norwegian island in Troms og Finnmark county that hosts the city center of Tromsø and is known for its Arctic location and vibrant cultural life.
-
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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7941e0560819080eee43a9ed0e1bb |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 9:10 p.m.