Triple
T21769076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Södermanland mainland |
E537373
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Torshälla |
—
|
NE NERFINISHED |
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: Torshälla | Statement: [Södermanland mainland, hasMajorCity, Torshälla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torshälla Context triple: [Södermanland mainland, hasMajorCity, Torshälla]
-
A.
Torshälla
chosen
Torshälla is a small historic town in Sweden known for its industrial heritage and traditional ironworking.
-
B.
Torsåker
Torsåker is a small locality in central Sweden known for its rural character and historical ties to the surrounding Hofors area.
-
C.
Torsby
Torsby is a small town in Värmland County, Sweden, known for its strong motorsport culture and role as a former base for Rally Sweden.
-
D.
Tingsryd
Tingsryd is a small locality and municipality in southern Sweden known for its rural landscapes, lakes, and traditional Swedish countryside character.
-
E.
Löttorp
Löttorp is a small village and local service center located on the Baltic Sea island of Öland in southeastern Sweden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ac10808190837a0f69c4f8a02d |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.