Triple
T7668098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Sweden |
E173675
|
entity |
| Predicate | containsProvince |
P11085
|
FINISHED |
| Object | Halland |
E129995
|
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: Halland | Statement: [Southern Sweden, containsProvince, Halland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halland Context triple: [Southern Sweden, containsProvince, Halland]
-
A.
Halland
chosen
Halland is a historical province on Sweden’s southwest coast along the Kattegat, known for its strategic coastal location and fertile agricultural landscape.
-
B.
Hälsingland
Hälsingland is a historical province in central Sweden known for its traditional decorated farmhouses, forests, and cultural heritage.
-
C.
Gotland County
Gotland County is an administrative region of Sweden encompassing the island of Gotland in the Baltic Sea, known for its medieval heritage and unique insular culture.
-
D.
Gotland
Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
-
E.
Västergötland
Västergötland is a historical province in southwestern Sweden known for its varied landscapes, medieval heritage, and important industrial and urban centers.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c26ffc8190894fdef92f877f38 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b260000819088d744ea8dc53cd2 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 4 p.m.