Triple
T17001101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rottumeroog |
E412443
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object | Borkum |
E159874
|
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: Borkum | Statement: [Rottumeroog, nearbyIsland, Borkum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borkum Context triple: [Rottumeroog, nearbyIsland, Borkum]
-
A.
Borkum
chosen
Borkum is a German North Sea island known for its seaside resorts, sandy beaches, and role as the westernmost of the East Frisian Islands.
-
B.
Norderney
Norderney is a popular German North Sea island known for its sandy beaches, seaside resort town, and role as a major tourist destination in Lower Saxony.
-
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.
Wangerooge
Wangerooge is a small German North Sea island known for its sandy beaches, tourism, and car-free environment as part of the East Frisian Islands.
-
E.
Krummhörn
Krummhörn is a coastal municipality in Lower Saxony, Germany, known for its historic fishing villages, dike landscapes, and traditional East Frisian culture.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37d9f9081909aef52426d88940d |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ece8730819084f4bbbd7579430c |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:32 a.m.