Triple
T11216372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish west coast |
E265448
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Kattegat |
E34271
|
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: Kattegat | Statement: [Swedish west coast, borders, Kattegat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kattegat Context triple: [Swedish west coast, borders, Kattegat]
-
A.
Kattegat
chosen
Kattegat is a shallow sea area and strait between Denmark and Sweden that forms a key maritime passage linking the North Sea with the Baltic Sea.
-
B.
Skagerrak
Skagerrak is a strait and sea area between Norway, Denmark, and Sweden that connects the North Sea to the Baltic Sea.
-
C.
Bothnian Sea
The Bothnian Sea is the southern part of the Gulf of Bothnia, a brackish water basin between Sweden and Finland that forms a northern arm of the Baltic Sea.
-
D.
Øresund
Øresund is the strait between Denmark and Sweden that connects the Baltic Sea to the North Sea and is spanned by the Øresund Bridge.
-
E.
Strelasund
Strelasund is a strait in the Baltic Sea separating the German island of Rügen from the mainland near the city of Stralsund.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8e8eef48190932a85784ce15c86 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5256cb7c8819084d8010c2f3e9d94 |
completed | April 19, 2026, 6:56 p.m. |
Created at: April 8, 2026, 9:30 p.m.