Triple
T23439158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Denmark |
E565346
|
entity |
| Predicate | hasMajorIsland |
P756
|
FINISHED |
| Object | Falster |
—
|
NE NERFINISHED |
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: Falster | Statement: [Eastern Denmark, hasMajorIsland, Falster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falster Context triple: [Eastern Denmark, hasMajorIsland, Falster]
-
A.
Falster
chosen
Falster is a Danish Baltic Sea island known for its rural landscapes, coastal tourism, and position as a transit route between Zealand and Germany.
-
B.
Fjerritslev
Fjerritslev is a small Danish town in the North Jutland region, known historically for its agricultural surroundings and local brewery heritage.
-
C.
Jølster
Jølster is a former municipality in Western Norway known for its scenic lakes and mountains and as the home of painter Nikolai Astrup.
-
D.
Fjærland
Fjærland is a picturesque village in Vestland county, Norway, known for its dramatic fjord landscape, nearby Jostedalsbreen glacier, and its status as Norway’s “Book Town” with numerous second-hand bookshops.
-
E.
Bømlo
Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5de713c8190b35bfa66dddbd5af |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.