Triple
T2183774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Råshult, Småland, Sweden |
E49104
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Älmhult |
E243305
|
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: Älmhult | Statement: [Råshult, Småland, Sweden, hasNearbyTown, Älmhult]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Älmhult Context triple: [Råshult, Småland, Sweden, hasNearbyTown, Älmhult]
-
A.
Älmhult Municipality
chosen
Älmhult Municipality is a local government area in Kronoberg County in southern Sweden, known as the birthplace of IKEA and for its rural Småland landscapes.
-
B.
Halmstad
Halmstad is a coastal city in southwestern Sweden known for its historic town center, harbor, and role as a strategic site in Scandinavian conflicts.
-
C.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
D.
Strängnäs
Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
-
E.
Ängelholm
Ängelholm is a coastal town in southern Sweden known for its sandy beaches, aviation museum, and scenic location at the mouth of the Rönne River.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf0e92248190a9449fce4044438a |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95f7e5448190a31dcb5ba3c547fb |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:45 p.m.