Triple
T22219728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västervik Municipality |
E549176
|
entity |
| Predicate | includesLocality |
P45140
|
FINISHED |
| Object |
Ankarsrum
Ankarsrum is a small locality in Kalmar County, Sweden, known historically for its ironworks and later for manufacturing kitchen appliances.
|
E1525162
|
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: Ankarsrum | Statement: [Västervik Municipality, includesLocality, Ankarsrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ankarsrum Context triple: [Västervik Municipality, includesLocality, Ankarsrum]
-
A.
Åkersberga
Åkersberga is a suburban town in eastern Sweden that serves as the main population and service center of Österåker Municipality, northeast of Stockholm.
-
B.
Rimforsa
Rimforsa is a small locality in Kinda Municipality in Östergötland County, Sweden.
-
C.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
-
D.
Årsta
Årsta is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to both the city center and green recreational areas.
-
E.
Arboga
Arboga is a historic small town in central Sweden known for its medieval heritage and well-preserved old town.
- 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: Ankarsrum Triple: [Västervik Municipality, includesLocality, Ankarsrum]
Generated description
Ankarsrum is a small locality in Kalmar County, Sweden, known historically for its ironworks and later for manufacturing kitchen appliances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ankarsrum Target entity description: Ankarsrum is a small locality in Kalmar County, Sweden, known historically for its ironworks and later for manufacturing kitchen appliances.
-
A.
Åkersberga
Åkersberga is a suburban town in eastern Sweden that serves as the main population and service center of Österåker Municipality, northeast of Stockholm.
-
B.
Rimforsa
Rimforsa is a small locality in Kinda Municipality in Östergötland County, Sweden.
-
C.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
-
D.
Årsta
Årsta is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to both the city center and green recreational areas.
-
E.
Arboga
Arboga is a historic small town in central Sweden known for its medieval heritage and well-preserved old town.
- F. None of above. chosen
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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8fa3d081908db0a0556b009d8f |
completed | April 28, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aae6d90fc8190a6ac75ea0ec0f7f1 |
completed | May 18, 2026, 6:15 a.m. |
| NEDg | Description generation | batch_6a0aaf211d8481908e7c23e35e920e87 |
completed | May 18, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab01b5cd48190bf67942798e4db45 |
completed | May 18, 2026, 6:22 a.m. |
Created at: April 16, 2026, 8:37 p.m.