Triple
T20489136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friesland |
E502691
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Terschelling |
—
|
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: Terschelling | Statement: [Friesland, hasPart, Terschelling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terschelling Context triple: [Friesland, hasPart, Terschelling]
-
A.
Terschelling
chosen
Terschelling is a Dutch Wadden Sea island known for its sandy beaches, dunes, and nature reserves, popular as a holiday destination and part of the UNESCO-listed Wadden Sea region.
-
B.
Vlieland
Vlieland is a sparsely populated Dutch Wadden Sea island known for its wide beaches, dunes, and car-free, nature-focused tourism.
-
C.
Föhr
Föhr is a North Frisian island off the coast of Schleswig-Holstein in northern Germany, known for its mild climate, sandy beaches, and traditional Frisian culture.
-
D.
Borkum
Borkum is a German North Sea island known for its seaside resorts, sandy beaches, and role as the westernmost of the East Frisian Islands.
-
E.
Norderoog
Norderoog is a small, uninhabited German island in the Wadden Sea, known as a protected bird sanctuary and part of the Schleswig-Holstein Wadden Sea National Park.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5d93ec81908259696359090b35 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.