Triple
T13084653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essingeleden |
E310298
|
entity |
| Predicate | hasJunction |
P1018
|
FINISHED |
| Object |
Västberga
Västberga is an industrial and residential district in southern Stockholm, Sweden, known for its warehouses, logistics centers, and proximity to major transport routes.
|
E1021092
|
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: Västberga | Statement: [Essingeleden, hasJunction, Västberga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Västberga Context triple: [Essingeleden, hasJunction, Västberga]
-
A.
Östervåla
Östervåla is a locality in central Sweden that serves as one of the settlements within Heby Municipality in Uppsala County.
-
B.
Västerhaninge
Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
-
C.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
D.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
E.
Vänersborg
Vänersborg is a Swedish town located at the southern tip of Lake Vänern, known historically as an administrative and trading center.
- 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: Västberga Triple: [Essingeleden, hasJunction, Västberga]
Generated description
Västberga is an industrial and residential district in southern Stockholm, Sweden, known for its warehouses, logistics centers, and proximity to major transport routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Västberga Target entity description: Västberga is an industrial and residential district in southern Stockholm, Sweden, known for its warehouses, logistics centers, and proximity to major transport routes.
-
A.
Östervåla
Östervåla is a locality in central Sweden that serves as one of the settlements within Heby Municipality in Uppsala County.
-
B.
Västerhaninge
Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
-
C.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
D.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
E.
Vänersborg
Vänersborg is a Swedish town located at the southern tip of Lake Vänern, known historically as an administrative and trading center.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981361e8c819099376435aa3a7aa3 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61060188190911eb3e135dc25ac |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6dae595908190b27980e48514cda5 |
completed | May 3, 2026, 5:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6db8f68a4819091d8e67d9c8eec81 |
completed | May 3, 2026, 5:22 a.m. |
Created at: April 9, 2026, 9:02 p.m.