Triple
T18644975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vestas Wind Systems |
E455780
|
entity |
| Predicate | foundingLocation |
P40
|
FINISHED |
| Object |
Lem, Denmark
Lem, Denmark is a small Danish town best known as the birthplace and original base of the global wind turbine manufacturer Vestas Wind Systems.
|
E1336629
|
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: Lem, Denmark | Statement: [Vestas Wind Systems, foundingLocation, Lem, Denmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lem, Denmark Context triple: [Vestas Wind Systems, foundingLocation, Lem, Denmark]
-
A.
Hammelev, Denmark
Hammelev, Denmark is a small Danish village best known as the birthplace of the early 20th-century painter and illustrator Gerda Wegener.
-
B.
Farum, Denmark
Farum, Denmark is a suburban town in Furesø Municipality on the island of Zealand, known for its residential character and proximity to Copenhagen.
-
C.
Billund, Denmark
Billund, Denmark is a small Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
-
D.
Karup, Denmark
Karup, Denmark is a village in central Jutland best known as a major military hub and home to the primary air base of the Royal Danish Air Force.
-
E.
Døstrup, Denmark
Døstrup, Denmark is a small Danish village best known as the birthplace of cartoonist Kurt Westergaard.
- 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: Lem, Denmark Triple: [Vestas Wind Systems, foundingLocation, Lem, Denmark]
Generated description
Lem, Denmark is a small Danish town best known as the birthplace and original base of the global wind turbine manufacturer Vestas Wind Systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lem, Denmark Target entity description: Lem, Denmark is a small Danish town best known as the birthplace and original base of the global wind turbine manufacturer Vestas Wind Systems.
-
A.
Hammelev, Denmark
Hammelev, Denmark is a small Danish village best known as the birthplace of the early 20th-century painter and illustrator Gerda Wegener.
-
B.
Farum, Denmark
Farum, Denmark is a suburban town in Furesø Municipality on the island of Zealand, known for its residential character and proximity to Copenhagen.
-
C.
Billund, Denmark
Billund, Denmark is a small Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
-
D.
Karup, Denmark
Karup, Denmark is a village in central Jutland best known as a major military hub and home to the primary air base of the Royal Danish Air Force.
-
E.
Døstrup, Denmark
Døstrup, Denmark is a small Danish village best known as the birthplace of cartoonist Kurt Westergaard.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500c36188190bfdd7aca73f3c006 |
completed | April 19, 2026, 9:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a051718605881909af06e9ee0c886ef |
completed | May 14, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a05192a654481908235ea8e16150c9b |
completed | May 14, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05199a9abc8190baba3e1ba422fd03 |
completed | May 14, 2026, 12:38 a.m. |
Created at: April 10, 2026, 11:47 a.m.