Triple
T13252061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superettan |
E315556
|
entity |
| Predicate | tierBelow |
P32836
|
FINISHED |
| Object | Ettan Södra |
E1031033
|
NE FINISHED |
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: Ettan Södra | Statement: [Superettan, tierBelow, Ettan Södra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ettan Södra Context triple: [Superettan, tierBelow, Ettan Södra]
-
A.
Ettan
chosen
Ettan is the third tier of the Swedish football league system, sitting below Superettan and above the regional lower divisions.
-
B.
Grossgrunden
Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
-
C.
Blåränderna
Blåränderna is a popular nickname for Djurgårdens IF, referring to the Swedish sports club’s iconic blue-striped team colors.
-
D.
Haga Södra
Haga Södra is a southern district of the Haga area in Stockholm, Sweden, known for its proximity to central city streets and parklands.
-
E.
Stäket
Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f73423c8190932a9edac56df383 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f17ba9081909929201be937c2cf |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:24 p.m.