Triple
T14586267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Køge Bay |
E342322
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Solrød
Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
|
E1114626
|
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: Solrød | Statement: [Køge Bay, hasNearbySettlement, Solrød]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solrød Context triple: [Køge Bay, hasNearbySettlement, Solrød]
-
A.
Søllerød
Søllerød is a locality in Rudersdal Municipality, north of Copenhagen in eastern Denmark, known for its affluent residential areas and scenic natural surroundings.
-
B.
Nakskov
Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
-
C.
Rødby
Rødby is a small town on the Danish island of Lolland, known historically as a ferry port linking Denmark and Germany across the Baltic Sea.
-
D.
Oksbøl
Oksbøl is a town in southwestern Jutland, Denmark, known for its military training areas and historical role as a garrison location.
-
E.
Vadsø
Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
- 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: Solrød Triple: [Køge Bay, hasNearbySettlement, Solrød]
Generated description
Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solrød Target entity description: Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
-
A.
Søllerød
Søllerød is a locality in Rudersdal Municipality, north of Copenhagen in eastern Denmark, known for its affluent residential areas and scenic natural surroundings.
-
B.
Nakskov
Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
-
C.
Rødby
Rødby is a small town on the Danish island of Lolland, known historically as a ferry port linking Denmark and Germany across the Baltic Sea.
-
D.
Oksbøl
Oksbøl is a town in southwestern Jutland, Denmark, known for its military training areas and historical role as a garrison location.
-
E.
Vadsø
Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb421bb308190a457425429ef6aa5 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16830c0819090a97b073c8e642d |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fdebe3cb908190a0731bc2b87a7db8 |
completed | May 8, 2026, 1:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdec35ff7881908e2fece02dc531ef |
completed | May 8, 2026, 1:59 p.m. |
Created at: April 10, 2026, 1:24 a.m.