Triple
T14586236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Køge Bay |
E342322
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Brøndby Strand
Brøndby Strand is a coastal suburb of Copenhagen in Denmark known for its long sandy beach along Køge Bay and large residential housing estates.
|
E476077
|
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: Brøndby Strand | Statement: [Køge Bay, adjacentTo, Brøndby Strand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brøndby Strand Context triple: [Køge Bay, adjacentTo, Brøndby Strand]
-
A.
Ballerup
Ballerup is a suburban municipality near Copenhagen in eastern Denmark, known for its residential areas, business parks, and sports facilities.
-
B.
Hvidovre
Hvidovre is a suburban municipality in the Capital Region of Denmark, located just southwest of central Copenhagen.
-
C.
Rødovre
Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
-
D.
Thurø
Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
-
E.
Gentofte
Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
- 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: Brøndby Strand Triple: [Køge Bay, adjacentTo, Brøndby Strand]
Generated description
Brøndby Strand is a coastal suburb of Copenhagen in Denmark known for its long sandy beach along Køge Bay and large residential housing estates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brøndby Strand Target entity description: Brøndby Strand is a coastal suburb of Copenhagen in Denmark known for its long sandy beach along Køge Bay and large residential housing estates.
-
A.
Ballerup
Ballerup is a suburban municipality near Copenhagen in eastern Denmark, known for its residential areas, business parks, and sports facilities.
-
B.
Hvidovre
chosen
Hvidovre is a suburban municipality in the Capital Region of Denmark, located just southwest of central Copenhagen.
-
C.
Rødovre
Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
-
D.
Thurø
Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
-
E.
Gentofte
Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
- F. None of above.
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_69fd94bef27481908c108110dbf21780 |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd95a852b88190a1daf0109ef3231e |
completed | May 8, 2026, 7:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd968b01848190b3986bde6015feb4 |
completed | May 8, 2026, 7:53 a.m. |
Created at: April 10, 2026, 1:24 a.m.