Triple
T22561526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gentofte Municipality |
E557826
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Vangede
Vangede is a suburban district of Copenhagen located in Gentofte Municipality, Denmark, known for its residential character and local amenities.
|
E1543478
|
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: Vangede | Statement: [Gentofte Municipality, containsSettlement, Vangede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vangede Context triple: [Gentofte Municipality, containsSettlement, Vangede]
-
A.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
B.
Vivild
Vivild is a small town in eastern Jutland, Denmark, situated within Norddjurs Municipality in the Central Denmark Region.
-
C.
Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
-
D.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
E.
Vardegötzen
Vardegötzen is a village and district of the town of Pattensen in Lower Saxony, Germany.
- 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: Vangede Triple: [Gentofte Municipality, containsSettlement, Vangede]
Generated description
Vangede is a suburban district of Copenhagen located in Gentofte Municipality, Denmark, known for its residential character and local amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vangede Target entity description: Vangede is a suburban district of Copenhagen located in Gentofte Municipality, Denmark, known for its residential character and local amenities.
-
A.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
B.
Vivild
Vivild is a small town in eastern Jutland, Denmark, situated within Norddjurs Municipality in the Central Denmark Region.
-
C.
Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
-
D.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
E.
Vardegötzen
Vardegötzen is a village and district of the town of Pattensen in Lower Saxony, Germany.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa5f4008190921095b7aff4f4e2 |
completed | April 29, 2026, 1:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d6d8bd88190a0716294f22fd32b |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b364801cc81908204a937c1099728 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37a1ecc08190ac89e862582833a0 |
completed | May 18, 2026, 4 p.m. |
Created at: April 16, 2026, 8:52 p.m.