Triple
T18413746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumla Municipality |
E441832
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Kumla
Kumla is a small Swedish town in Örebro County known historically for its shoe industry and for hosting one of Sweden’s largest prisons.
|
E441832
|
NE FINISHED |
How this triple was built (4 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: Kumla | Statement: [Kumla Municipality, containsSettlement, Kumla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumla Context triple: [Kumla Municipality, containsSettlement, Kumla]
-
A.
Kumla Municipality
Kumla Municipality is a local government area in central Sweden known for its town of Kumla and its location within Örebro County.
-
B.
Kramfors
Kramfors is a small industrial and service town in northern Sweden known for its location along the Ångerman River and its historical ties to the forestry and sawmill industries.
-
C.
Motala
Motala is a town in southern Sweden known for its location on Lake Vättern and its historic role as an industrial and canal hub.
-
D.
Pajala
Pajala is a small town in northern Sweden’s Lapland region, known for its remote Arctic setting and as the backdrop of several works by author Mikael Niemi.
-
E.
Bengtsfors
Bengtsfors is a small town in western Sweden known for its lakeside setting, forests, and role as a local administrative and service center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kumla Triple: [Kumla Municipality, containsSettlement, Kumla]
Generated description
Kumla is a small Swedish town in Örebro County known historically for its shoe industry and for hosting one of Sweden’s largest prisons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kumla Target entity description: Kumla is a small Swedish town in Örebro County known historically for its shoe industry and for hosting one of Sweden’s largest prisons.
-
A.
Kumla Municipality
chosen
Kumla Municipality is a local government area in central Sweden known for its town of Kumla and its location within Örebro County.
-
B.
Kramfors
Kramfors is a small industrial and service town in northern Sweden known for its location along the Ångerman River and its historical ties to the forestry and sawmill industries.
-
C.
Motala
Motala is a town in southern Sweden known for its location on Lake Vättern and its historic role as an industrial and canal hub.
-
D.
Pajala
Pajala is a small town in northern Sweden’s Lapland region, known for its remote Arctic setting and as the backdrop of several works by author Mikael Niemi.
-
E.
Bengtsfors
Bengtsfors is a small town in western Sweden known for its lakeside setting, forests, and role as a local administrative and service center.
- F. None of above.
Provenance (5 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a26d268819098e6791dc98efcda |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f0a40c7481909a226c2be0de8d9d |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03fa81964481909f0049ad756d4755 |
completed | May 13, 2026, 4:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03fac766d88190afee2a6b540dc58e |
completed | May 13, 2026, 4:15 a.m. |
Created at: April 10, 2026, 10:47 a.m.