Triple
T22173580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Möja |
E547984
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object |
Kyrkviken
Kyrkviken is a small coastal settlement and bay area on the island of Möja in the Stockholm archipelago of Sweden.
|
E1524165
|
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: Kyrkviken | Statement: [Möja, hasRegion, Kyrkviken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyrkviken Context triple: [Möja, hasRegion, Kyrkviken]
-
A.
Sandvika
Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
-
B.
Nordstrand
Nordstrand is a low-lying, dike-protected island off the coast of Schleswig-Holstein in northern Germany, known for its North Sea marshland landscape and traditional Frisian culture.
-
C.
Nordstrand
Nordstrand is a mainly residential borough in the southeastern part of Oslo, Norway, known for its hillside location overlooking the Oslofjord.
-
D.
Nordstrand
Nordstrand is a popular sandy beach area on the North Sea island of Norderney in Germany, known for its coastal scenery and recreational opportunities.
-
E.
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
- 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: Kyrkviken Triple: [Möja, hasRegion, Kyrkviken]
Generated description
Kyrkviken is a small coastal settlement and bay area on the island of Möja in the Stockholm archipelago of Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyrkviken Target entity description: Kyrkviken is a small coastal settlement and bay area on the island of Möja in the Stockholm archipelago of Sweden.
-
A.
Sandvika
Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
-
B.
Nordstrand
Nordstrand is a low-lying, dike-protected island off the coast of Schleswig-Holstein in northern Germany, known for its North Sea marshland landscape and traditional Frisian culture.
-
C.
Nordstrand
Nordstrand is a mainly residential borough in the southeastern part of Oslo, Norway, known for its hillside location overlooking the Oslofjord.
-
D.
Nordstrand
Nordstrand is a popular sandy beach area on the North Sea island of Norderney in Germany, known for its coastal scenery and recreational opportunities.
-
E.
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6a9370819098ad65fede676c2b |
completed | April 28, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa606177081908b30cff5514cd8c7 |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa754e2f08190ad4b2186ab0994b3 |
completed | May 18, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa79ada5881908b6a6a86290f119e |
completed | May 18, 2026, 5:46 a.m. |
Created at: April 16, 2026, 8:34 p.m.