Triple
T21057842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Södertörn University |
E518765
|
entity |
| Predicate | hasStudentUnion |
P1855
|
FINISHED |
| Object |
SöderS
SöderS is the official student union representing and supporting students at Södertörn University in Sweden.
|
E1465581
|
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: SöderS | Statement: [Södertörn University, hasStudentUnion, SöderS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SöderS Context triple: [Södertörn University, hasStudentUnion, SöderS]
-
A.
Söder
Söder is a German surname most prominently associated with Markus Söder, a leading Bavarian politician and Minister-President of Bavaria.
-
B.
Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
-
C.
Söderfors
Söderfors is a small locality in Uppsala County, Sweden, known historically for its ironworks and scenic location by the Dalälven river.
-
D.
Söderort
Söderort is the southern suburban part of Stockholm, Sweden, consisting mainly of residential districts located south of the inner-city island of Södermalm.
-
E.
Baumüller-Söder
Baumüller-Söder is a German surname most notably associated with Karin Baumüller-Söder, a German businesswoman and the wife of Bavarian Minister-President Markus Söder.
- 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: SöderS Triple: [Södertörn University, hasStudentUnion, SöderS]
Generated description
SöderS is the official student union representing and supporting students at Södertörn University in Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SöderS Target entity description: SöderS is the official student union representing and supporting students at Södertörn University in Sweden.
-
A.
Söder
Söder is a German surname most prominently associated with Markus Söder, a leading Bavarian politician and Minister-President of Bavaria.
-
B.
Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
-
C.
Söderfors
Söderfors is a small locality in Uppsala County, Sweden, known historically for its ironworks and scenic location by the Dalälven river.
-
D.
Söderort
Söderort is the southern suburban part of Stockholm, Sweden, consisting mainly of residential districts located south of the inner-city island of Södermalm.
-
E.
Baumüller-Söder
Baumüller-Söder is a German surname most notably associated with Karin Baumüller-Söder, a German businesswoman and the wife of Bavarian Minister-President Markus Söder.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd81434c8190aedfddf937f82322 |
completed | April 21, 2026, 4:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09506aebb081908729fbbdd50009a8 |
completed | May 17, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0954419f2c81909d2bf51a9d41b740 |
completed | May 17, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09549f13748190bf8daa3c3cb3301c |
completed | May 17, 2026, 5:39 a.m. |
Created at: April 16, 2026, 2:37 p.m.