Triple
T7194202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naval Base Korsør |
E167768
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Korsør
Korsør is a Danish coastal town on the island of Zealand, known for its strategic position by the Great Belt strait and its historic maritime and military significance.
|
E657367
|
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: Korsør | Statement: [Naval Base Korsør, location, Korsør]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korsør Context triple: [Naval Base Korsør, location, Korsør]
-
A.
Svendborg
Svendborg is a historic coastal town and seaport in southern Denmark known for its maritime heritage and location on the island of Funen.
-
B.
Frederikshavn
Frederikshavn is a port town in northern Jutland, Denmark, known for its ferry connections to Norway and Sweden and its maritime industry.
-
C.
Nyborg
Nyborg is a historic coastal town and former royal seat in central Denmark, located on the island of Funen.
-
D.
Sønderborg
Sønderborg is a coastal town in southern Denmark known for its historic castle, waterfront setting on the island of Als, and role as a regional cultural and educational center.
-
E.
Skanderborg
Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
- 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: Korsør Triple: [Naval Base Korsør, location, Korsør]
Generated description
Korsør is a Danish coastal town on the island of Zealand, known for its strategic position by the Great Belt strait and its historic maritime and military significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Korsør Target entity description: Korsør is a Danish coastal town on the island of Zealand, known for its strategic position by the Great Belt strait and its historic maritime and military significance.
-
A.
Svendborg
Svendborg is a historic coastal town and seaport in southern Denmark known for its maritime heritage and location on the island of Funen.
-
B.
Frederikshavn
Frederikshavn is a port town in northern Jutland, Denmark, known for its ferry connections to Norway and Sweden and its maritime industry.
-
C.
Nyborg
Nyborg is a historic coastal town and former royal seat in central Denmark, located on the island of Funen.
-
D.
Sønderborg
Sønderborg is a coastal town in southern Denmark known for its historic castle, waterfront setting on the island of Als, and role as a regional cultural and educational center.
-
E.
Skanderborg
Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9050164819081fd6a11d10f9833 |
completed | March 27, 2026, 8:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eec9fcd88190905139f6e4eb7684 |
completed | March 28, 2026, 3:07 p.m. |
| NEDg | Description generation | batch_69c7f04757488190913fc9bdfdfb22fe |
completed | March 28, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f09fd1088190b224b315e076b19a |
completed | March 28, 2026, 3:15 p.m. |
Created at: March 27, 2026, 2:50 p.m.