Triple
T9495410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trave |
E228990
|
entity |
| Predicate | hasEstuaryNear |
P28855
|
FINISHED |
| Object | Bay of Lübeck |
E808641
|
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: Bay of Lübeck | Statement: [Trave, hasEstuaryNear, Bay of Lübeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bay of Lübeck Context triple: [Trave, hasEstuaryNear, Bay of Lübeck]
-
A.
Bay of Lübeck
chosen
The Bay of Lübeck is a Baltic Sea inlet along the northern coast of Germany, known for its historic Hanseatic ports, sandy beaches, and popular seaside resorts.
-
B.
Eckernförde Bay
Eckernförde Bay is a Baltic Sea inlet on the coast of Schleswig-Holstein in northern Germany, known for its beaches, maritime tourism, and the harbor town of Eckernförde.
-
C.
Guldborgsund
Guldborgsund is a narrow strait in Denmark that separates the islands of Lolland and Falster and serves as an important local waterway.
-
D.
Eckernförde
Eckernförde is a coastal town in northern Germany known for its Baltic Sea beaches, historic harbor, and maritime tourism.
-
E.
German Bight
The German Bight is a shallow southeastern corner of the North Sea off the coasts of Germany, Denmark, and the Netherlands, known for its tidal flats, shipping routes, and offshore wind farms.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95eb87b081908fc7255598cd9a24 |
completed | April 1, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1820ba67881909955c4198c7289b1 |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:56 p.m.