Triple
T18797025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendsyssel |
E459660
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Løkken |
—
|
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: Løkken | Statement: [Vendsyssel, hasMajorTown, Løkken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Løkken Context triple: [Vendsyssel, hasMajorTown, Løkken]
-
A.
Løkken
chosen
Løkken is a Danish seaside town known for its sandy beaches, coastal dunes, and popular summer tourism on the North Sea.
-
B.
Fagerbakke
Fagerbakke is the surname of American actor and voice actor Bill Fagerbakke, best known for voicing Patrick Star on the animated series "SpongeBob SquarePants."
-
C.
Birkelunden
Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
-
D.
Rønne
Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
-
E.
Eskelunden
Eskelunden is a large outdoor area in Aarhus, Denmark, used as the main site for major events and music festivals.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a020821881909749f6a1c6cd195b |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.