Triple
T5646492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anze Kopitar |
E124396
|
entity |
| Predicate | formerTeam |
P1168
|
FINISHED |
| Object | Södertälje SK |
E506228
|
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: Södertälje SK | Statement: [Anze Kopitar, formerTeam, Södertälje SK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Södertälje SK Context triple: [Anze Kopitar, formerTeam, Södertälje SK]
-
A.
Södertälje SK
chosen
Södertälje SK is a Swedish professional ice hockey club based in Södertälje, known for its long history and multiple national championships.
-
B.
Södertälje FK
Södertälje FK is a Swedish football club based in Södertälje, known locally for its competitive presence and rivalry with neighboring club Syrianska FC.
-
C.
Östersunds FK
Östersunds FK is a Swedish professional football club known for its rapid rise through the leagues and notable performances in domestic and European competitions.
-
D.
Lidingö SK
Lidingö SK is a Swedish multi-sport club based in Lidingö, known especially for its athletics and orienteering activities.
-
E.
Djurgårdens IF
Djurgårdens IF is a prominent Swedish sports club from Stockholm, best known for its successful ice hockey and football teams and large, passionate fan base.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022abf0108190b10b3a9fe1688bf9 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d88bbf08190b32d1ad157e28fe4 |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:41 p.m.