Triple
T5697802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utö |
E125581
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Gruvbyn
Gruvbyn is a historic mining village area on the island of Utö in Sweden, known for its old iron ore mines and traditional archipelago settlement.
|
E545375
|
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: Gruvbyn | Statement: [Utö, hasPart, Gruvbyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gruvbyn Context triple: [Utö, hasPart, Gruvbyn]
-
A.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
B.
Jernburet
Jernburet is a political analysis book by Norwegian foreign policy scholar Asle Toje that examines the challenges facing Europe and the Western world in the 21st century.
-
C.
Flemingsberg
Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
-
D.
Fjällbacka
Fjällbacka is a picturesque coastal village in western Sweden, known for its fishing heritage, granite cliffs, and as the setting of Camilla Läckberg’s crime novels.
-
E.
Kållerado
Kållerado is a popular river rapids ride at the Liseberg amusement park in Gothenburg, Sweden.
- 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: Gruvbyn Triple: [Utö, hasPart, Gruvbyn]
Generated description
Gruvbyn is a historic mining village area on the island of Utö in Sweden, known for its old iron ore mines and traditional archipelago settlement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gruvbyn Target entity description: Gruvbyn is a historic mining village area on the island of Utö in Sweden, known for its old iron ore mines and traditional archipelago settlement.
-
A.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
B.
Jernburet
Jernburet is a political analysis book by Norwegian foreign policy scholar Asle Toje that examines the challenges facing Europe and the Western world in the 21st century.
-
C.
Flemingsberg
Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
-
D.
Fjällbacka
Fjällbacka is a picturesque coastal village in western Sweden, known for its fishing heritage, granite cliffs, and as the setting of Camilla Läckberg’s crime novels.
-
E.
Kållerado
Kållerado is a popular river rapids ride at the Liseberg amusement park in Gothenburg, Sweden.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0240d6c0c8190bf970c7652fd9573 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07ddd0f248190a796055212284542 |
completed | March 22, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_69c08a536ecc8190a4a0391e28076d44 |
completed | March 23, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08ad660688190b5d3563ac2a9d0d9 |
completed | March 23, 2026, 12:35 a.m. |
Created at: March 22, 2026, 3:45 p.m.