Triple
T10229656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Älmhult Municipality |
E243305
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Älmhult |
E711472
|
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: [Älmhult Municipality, contains, Älmhult]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Älmhult Context triple: [Älmhult Municipality, contains, Älmhult]
-
A.
Älmhult Municipality
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.
Älmhult, Sweden
chosen
Älmhult, Sweden is a small town in southern Sweden best known as the birthplace and original home of the global furniture company IKEA.
-
C.
Söderhamn
Söderhamn is a coastal town in east-central Sweden known for its historical wooden architecture and role as the administrative and commercial center of the surrounding region.
-
D.
Ål
Ål is a mountainous rural municipality and village in central Norway, known for its traditional Hallingdal culture, outdoor recreation, and winter sports.
-
E.
Hudiksvall
Hudiksvall is a coastal town in east-central Sweden known for its historic wooden buildings and harbor on the Gulf of Bothnia.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fcb1d081908173033594a6bfc9 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fdc1880819094a501602b64d8b6 |
completed | April 9, 2026, 7:06 a.m. |
Created at: April 6, 2026, 11:19 a.m.