Triple
T20823920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammeren peninsula |
E512644
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Sandvig |
—
|
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: Sandvig | Statement: [Hammeren peninsula, hasNearbySettlement, Sandvig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandvig Context triple: [Hammeren peninsula, hasNearbySettlement, Sandvig]
-
A.
Sandvig
chosen
Sandvig is a coastal village on the northern tip of the Danish island of Bornholm, known for its scenic rocky shoreline and role as part of the twin town Allinge-Sandvig.
-
B.
Vigerslev
Vigerslev is a neighborhood within the Valby district of Copenhagen, Denmark, known primarily as a residential area with local amenities and transport links.
-
C.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
D.
Bundsgaard
Bundsgaard is a Danish surname most notably associated with Jacob Bundsgaard, the mayor of Aarhus, Denmark.
-
E.
Gudå
Gudå is a small village in the municipality of Meråker in Trøndelag county, central Norway, known for its rural setting and proximity to outdoor recreation areas.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fc0cd081909e264cda686579ea |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.