Triple
T8445318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storsjön |
E199658
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Andersön
Andersön is a large forested island in Sweden’s Lake Storsjön, known for its nature reserve, hiking trails, and rich birdlife.
|
E734639
|
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: Andersön | Statement: [Storsjön, hasIsland, Andersön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andersön Context triple: [Storsjön, hasIsland, Andersön]
-
A.
Söderfors
Söderfors is a small locality in Uppsala County, Sweden, known historically for its ironworks and scenic location by the Dalälven river.
-
B.
Leijonborg
Leijonborg is a Swedish surname most notably associated with politician Lars Leijonborg, a former leader of the Liberal People's Party in Sweden.
-
C.
Olofström
Olofström is a small industrial town in southern Sweden known for its automotive manufacturing, particularly its long association with Volvo.
-
D.
Wästberg
Wästberg is a Swedish surname associated with notable figures in politics, literature, and public life.
-
E.
Pedersöre
Pedersöre is a bilingual (Swedish- and Finnish-speaking) rural municipality in western Finland known for its agriculture and small-town communities.
- 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: Andersön Triple: [Storsjön, hasIsland, Andersön]
Generated description
Andersön is a large forested island in Sweden’s Lake Storsjön, known for its nature reserve, hiking trails, and rich birdlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andersön Target entity description: Andersön is a large forested island in Sweden’s Lake Storsjön, known for its nature reserve, hiking trails, and rich birdlife.
-
A.
Söderfors
Söderfors is a small locality in Uppsala County, Sweden, known historically for its ironworks and scenic location by the Dalälven river.
-
B.
Leijonborg
Leijonborg is a Swedish surname most notably associated with politician Lars Leijonborg, a former leader of the Liberal People's Party in Sweden.
-
C.
Olofström
Olofström is a small industrial town in southern Sweden known for its automotive manufacturing, particularly its long association with Volvo.
-
D.
Wästberg
Wästberg is a Swedish surname associated with notable figures in politics, literature, and public life.
-
E.
Pedersöre
Pedersöre is a bilingual (Swedish- and Finnish-speaking) rural municipality in western Finland known for its agriculture and small-town communities.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3138ee08190918cd82adbe2d9a1 |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dac8cb08190b74985a6ba3c938f |
completed | April 2, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69ce1f3729e4819084600862b53c94a8 |
completed | April 2, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1fdde53c8190b356950f878b6b70 |
completed | April 2, 2026, 7:50 a.m. |
Created at: March 30, 2026, 6:09 p.m.