Triple
T18551926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landskrona Municipality |
E453398
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Skåne |
E1313166
|
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: Skåne | Statement: [Landskrona Municipality, locatedIn, Skåne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skåne Context triple: [Landskrona Municipality, locatedIn, Skåne]
-
A.
Skåne
chosen
Skåne is the southernmost historical province of Sweden, known for its fertile farmland, coastal landscapes, and cultural ties to both Sweden and Denmark.
-
B.
Västergötland
Västergötland is a historical province in southwestern Sweden known for its varied landscapes, medieval heritage, and important industrial and urban centers.
-
C.
Småland
Småland is a historical province in southern Sweden known for its forests, lakes, traditional red cottages, and as the birthplace of IKEA founder Ingvar Kamprad.
-
D.
Skåne County
Skåne County is Sweden’s southernmost county, known for its fertile farmland, coastal landscapes, and major cities such as Malmö and Lund.
-
E.
Blekinge
Blekinge is a historical province in southern Sweden on the Baltic Sea coast, known for its archipelago, maritime heritage, and strategic location.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538019a74819099dbd255fb21fa95 |
completed | April 19, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d67c1ac819096dc2f90ea547ea0 |
completed | May 13, 2026, 11:46 p.m. |
Created at: April 10, 2026, 11:38 a.m.