Triple
T16576626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rottumerplaat |
E402727
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object | Rottumeroog |
E412443
|
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: Rottumeroog | Statement: [Rottumerplaat, nearbyIsland, Rottumeroog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rottumeroog Context triple: [Rottumerplaat, nearbyIsland, Rottumeroog]
-
A.
Rottumeroog
chosen
Rottumeroog is a small, uninhabited Dutch barrier island in the Wadden Sea, known for its shifting sands and protected natural environment.
-
B.
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.
-
C.
Spiekeroog
Spiekeroog is a car-free German North Sea island known for its tranquil beaches, dunes, and traditional Frisian village atmosphere.
-
D.
Schiermonnikoog
Schiermonnikoog is a small Dutch Wadden Sea island known for its protected natural landscapes, extensive beaches, and status as a largely car-free national park destination.
-
E.
Sneekermeer
Sneekermeer is a popular lake in the Dutch province of Friesland, known for boating, sailing, and water sports near the city of Sneek.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595dd90881909933216bd12505e1 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091891c5081908f37598a17417c94 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:16 a.m.