Triple
T7488773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limfjord |
E176948
|
entity |
| Predicate | hasInlet |
P23365
|
FINISHED |
| Object |
Nissum Bredning
Nissum Bredning is a broad western basin of the Limfjord in northwestern Jutland, Denmark, known for its shallow waters and coastal natural habitats.
|
E669137
|
NE FINISHED |
How this triple was built (4 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: Nissum Bredning | Statement: [Limfjord, hasInlet, Nissum Bredning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nissum Bredning Context triple: [Limfjord, hasInlet, Nissum Bredning]
-
A.
Knudstrup
Knudstrup is a small locality in present-day Sweden historically notable as the birthplace of the astronomer Tycho Brahe.
-
B.
Knudstrup
Knudstrup is a locality in Denmark, likely a small village or settlement bearing a traditional Danish place name.
-
C.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
D.
Merrild
Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
-
E.
Sandvig
Sandvig is a coastal village on the northern tip of the Danish island of Bornholm, known for its scenic rocky shoreline and role as part of the twin town Allinge-Sandvig.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nissum Bredning Triple: [Limfjord, hasInlet, Nissum Bredning]
Generated description
Nissum Bredning is a broad western basin of the Limfjord in northwestern Jutland, Denmark, known for its shallow waters and coastal natural habitats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nissum Bredning Target entity description: Nissum Bredning is a broad western basin of the Limfjord in northwestern Jutland, Denmark, known for its shallow waters and coastal natural habitats.
-
A.
Knudstrup
Knudstrup is a small locality in present-day Sweden historically notable as the birthplace of the astronomer Tycho Brahe.
-
B.
Knudstrup
Knudstrup is a locality in Denmark, likely a small village or settlement bearing a traditional Danish place name.
-
C.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
D.
Merrild
Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
-
E.
Sandvig
Sandvig is a coastal village on the northern tip of the Danish island of Bornholm, known for its scenic rocky shoreline and role as part of the twin town Allinge-Sandvig.
- F. None of above. chosen
Provenance (5 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55abcd481909e42ca857fe46cd1 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c71f5748190bdda4cf9b8dfc6ea |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83e7b2ab08190a5ecb9b87af067a5 |
completed | March 28, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c842bad1e8819093bf61d9480dbd22 |
completed | March 28, 2026, 9:06 p.m. |
Created at: March 27, 2026, 3:43 p.m.