Triple
T3031193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Sweden |
E82897
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Skellefteå
Skellefteå is a city in northern Sweden known for its growing high-tech and green industry sector, particularly in battery manufacturing, as well as its ice hockey tradition.
|
E351191
|
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: Skellefteå | Statement: [Northern Sweden, hasCity, Skellefteå]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skellefteå Context triple: [Northern Sweden, hasCity, Skellefteå]
-
A.
Luleå
Luleå is a coastal city in northern Sweden known for its major port, technology and university hub, and proximity to the Arctic Circle.
-
B.
Trollhättan
Trollhättan is a city in western Sweden known for its historic role in the automotive industry and as the longtime home of Saab Automobile’s main production facilities.
-
C.
Östersund
Östersund is a city in central Sweden known for its strong winter sports tradition and repeated bids to host the Winter Olympics.
-
D.
Gävle
Gävle is a coastal city in eastern Sweden known as an important regional port, industrial center, and the home of the famous Gävle Christmas Goat.
-
E.
Skövde
Skövde is a town in south-central Sweden that serves as a major military hub and training center for the Swedish Army.
- 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: Skellefteå Triple: [Northern Sweden, hasCity, Skellefteå]
Generated description
Skellefteå is a city in northern Sweden known for its growing high-tech and green industry sector, particularly in battery manufacturing, as well as its ice hockey tradition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skellefteå Target entity description: Skellefteå is a city in northern Sweden known for its growing high-tech and green industry sector, particularly in battery manufacturing, as well as its ice hockey tradition.
-
A.
Luleå
Luleå is a coastal city in northern Sweden known for its major port, technology and university hub, and proximity to the Arctic Circle.
-
B.
Trollhättan
Trollhättan is a city in western Sweden known for its historic role in the automotive industry and as the longtime home of Saab Automobile’s main production facilities.
-
C.
Östersund
Östersund is a city in central Sweden known for its strong winter sports tradition and repeated bids to host the Winter Olympics.
-
D.
Gävle
Gävle is a coastal city in eastern Sweden known as an important regional port, industrial center, and the home of the famous Gävle Christmas Goat.
-
E.
Skövde
Skövde is a town in south-central Sweden that serves as a major military hub and training center for the Swedish Army.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aee2fec81908116939a8d773fc4 |
completed | March 8, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324da09888190b3ea7763d3a09d5d |
completed | March 12, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69b326960de48190abe69b3c140f4a4a |
completed | March 12, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b327b13c9c8190b8c431ca2ae61ef9 |
completed | March 12, 2026, 8:53 p.m. |
Created at: March 8, 2026, 3:01 p.m.