Triple
T14586234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Køge Bay |
E342322
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Greve Strand
Greve Strand is a coastal town in eastern Denmark known for its sandy beaches along Køge Bay and its role as a residential suburb of Copenhagen.
|
E1107929
|
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: Greve Strand | Statement: [Køge Bay, adjacentTo, Greve Strand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greve Strand Context triple: [Køge Bay, adjacentTo, Greve Strand]
-
A.
Huvudsta Strand
Huvudsta Strand is a waterfront area and street along the shoreline in the Huvudsta district of Solna, just outside central Stockholm, Sweden.
-
B.
South Strand
South Strand is a sandy seaside beach located in Skerries, a coastal town in County Dublin, Ireland.
-
C.
Dane Street Beach
Dane Street Beach is a popular public shoreline and recreation area in Beverly, Massachusetts, known for its sandy beach, swimming, and views of Beverly Harbor.
-
D.
Farsta strand
Farsta strand is a suburban district and metro terminus in southern Stockholm, Sweden, known for its residential areas and public transport connections.
-
E.
Stranda
Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
- 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: Greve Strand Triple: [Køge Bay, adjacentTo, Greve Strand]
Generated description
Greve Strand is a coastal town in eastern Denmark known for its sandy beaches along Køge Bay and its role as a residential suburb of Copenhagen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greve Strand Target entity description: Greve Strand is a coastal town in eastern Denmark known for its sandy beaches along Køge Bay and its role as a residential suburb of Copenhagen.
-
A.
Huvudsta Strand
Huvudsta Strand is a waterfront area and street along the shoreline in the Huvudsta district of Solna, just outside central Stockholm, Sweden.
-
B.
South Strand
South Strand is a sandy seaside beach located in Skerries, a coastal town in County Dublin, Ireland.
-
C.
Dane Street Beach
Dane Street Beach is a popular public shoreline and recreation area in Beverly, Massachusetts, known for its sandy beach, swimming, and views of Beverly Harbor.
-
D.
Farsta strand
Farsta strand is a suburban district and metro terminus in southern Stockholm, Sweden, known for its residential areas and public transport connections.
-
E.
Stranda
Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
- 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_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.