Triple
T1300127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Södermanland County |
E27742
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Oxelösund
Oxelösund is a small coastal industrial town in eastern Sweden known for its port facilities and steel production.
|
E158065
|
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: Oxelösund | Statement: [Södermanland County, contains, Oxelösund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxelösund Context triple: [Södermanland County, contains, Oxelösund]
-
A.
Trångsund
Trångsund is a suburban district in the southern part of the Stockholm urban area in Sweden, known for its residential character and proximity to lakes and nature.
-
B.
Hovsjö
Hovsjö is a residential district in the city of Södertälje, Sweden, known for its large-scale housing estates and diverse population.
-
C.
Muskö
Muskö is an island and locality in the Stockholm archipelago of Sweden, known for its naval base and scenic coastal environment.
-
D.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
E.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
- 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: Oxelösund Triple: [Södermanland County, contains, Oxelösund]
Generated description
Oxelösund is a small coastal industrial town in eastern Sweden known for its port facilities and steel production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oxelösund Target entity description: Oxelösund is a small coastal industrial town in eastern Sweden known for its port facilities and steel production.
-
A.
Trångsund
Trångsund is a suburban district in the southern part of the Stockholm urban area in Sweden, known for its residential character and proximity to lakes and nature.
-
B.
Hovsjö
Hovsjö is a residential district in the city of Södertälje, Sweden, known for its large-scale housing estates and diverse population.
-
C.
Muskö
Muskö is an island and locality in the Stockholm archipelago of Sweden, known for its naval base and scenic coastal environment.
-
D.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
E.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd4729af08190a6de5388dab69fee |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd4efb73881908dda4973befc6aa5 |
completed | March 8, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd56ef0b081909df2efee97a4197c |
completed | March 8, 2026, 1:48 a.m. |
Created at: March 1, 2026, 7:51 p.m.