Triple
T11216389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish west coast |
E265448
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Fjällbacka |
E253915
|
NE FINISHED |
How this triple was built (2 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: Fjällbacka | Statement: [Swedish west coast, hasTown, Fjällbacka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fjällbacka Context triple: [Swedish west coast, hasTown, Fjällbacka]
-
A.
Fjällbacka
chosen
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.
-
B.
Kungsbacka
Kungsbacka is a town in southwestern Sweden known for its coastal location, historic wooden center, and role as a commuter hub for nearby Gothenburg.
-
C.
Malmberget
Malmberget is a major iron ore mining town in northern Sweden known for its extensive underground operations and associated subsidence issues.
-
D.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
E.
Mårbacka
Mårbacka is the historic family estate and later home of Swedish author and Nobel laureate Selma Lagerlöf, now preserved as a museum in Värmland, Sweden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8e8eef48190932a85784ce15c86 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e49762e3188190ba3c0e01cf04f6a1 |
completed | April 19, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:30 p.m.