Triple
T15878100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ørsta |
E385000
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Ulstein |
E494783
|
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: Ulstein | Statement: [Ørsta, hasNeighbouringMunicipality, Ulstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulstein Context triple: [Ørsta, hasNeighbouringMunicipality, Ulstein]
-
A.
Ulstein
chosen
Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
-
B.
MS Vesterålen
MS Vesterålen is a Norwegian coastal passenger and cargo ship operated on the Hurtigruten coastal route, known for its intimate size and classic working-ship character.
-
C.
SS Gotenland
SS Gotenland was a German transport ship used by the Nazis during World War II to deport Jews and other prisoners to concentration and extermination camps.
-
D.
Gjøa
Gjøa is the historic Norwegian polar exploration ship used by Roald Amundsen to complete the first successful navigation of the Northwest Passage.
-
E.
Aero O/Y
Aero O/Y was the original Finnish airline that later evolved into the national carrier Finnair.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fec9d4819081efea504e1e3952 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa950a890819092bc1e8895034593 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.