Triple
T15030308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skärholmen |
E378324
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Vårberg
Vårberg is a residential district in southern Stockholm, Sweden, known for its suburban housing areas and proximity to Lake Mälaren.
|
E1134876
|
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: Vårberg | Statement: [Skärholmen, hasNeighbourhood, Vårberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vårberg Context triple: [Skärholmen, hasNeighbourhood, Vårberg]
-
A.
Wästberg
Wästberg is a Swedish surname associated with notable figures in politics, literature, and public life.
-
B.
Gustavsberg
Gustavsberg is a locality in Sweden best known for its historic porcelain factory and role as a suburban community in the Stockholm archipelago.
-
C.
Enberg
Enberg is a surname most notably associated with American sportscaster Dick Enberg, renowned for his long career covering major sporting events on television and radio.
-
D.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
E.
Valberg
Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
- 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: Vårberg Triple: [Skärholmen, hasNeighbourhood, Vårberg]
Generated description
Vårberg is a residential district in southern Stockholm, Sweden, known for its suburban housing areas and proximity to Lake Mälaren.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vårberg Target entity description: Vårberg is a residential district in southern Stockholm, Sweden, known for its suburban housing areas and proximity to Lake Mälaren.
-
A.
Wästberg
Wästberg is a Swedish surname associated with notable figures in politics, literature, and public life.
-
B.
Gustavsberg
Gustavsberg is a locality in Sweden best known for its historic porcelain factory and role as a suburban community in the Stockholm archipelago.
-
C.
Enberg
Enberg is a surname most notably associated with American sportscaster Dick Enberg, renowned for his long career covering major sporting events on television and radio.
-
D.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
E.
Valberg
Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5b4d58481908afbc89263e07b50 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea6cdd01c819089f9df84732bde61 |
completed | May 9, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea736fbec8190a84fa350bc25b45b |
completed | May 9, 2026, 3:17 a.m. |
Created at: April 10, 2026, 2:59 a.m.