Triple
T12145256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norrköping |
E289301
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object | IFK Norrköping |
E957100
|
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: IFK Norrköping | Statement: [Norrköping, hasSportsTeam, IFK Norrköping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IFK Norrköping Context triple: [Norrköping, hasSportsTeam, IFK Norrköping]
-
A.
IFK Norrköping
chosen
IFK Norrköping is a Swedish professional football club based in Norrköping that competes in the country’s top leagues and has a rich domestic history.
-
B.
IFK Göteborg
IFK Göteborg is a prominent Swedish football club based in Gothenburg, known for its domestic success and historic UEFA Cup victories.
-
C.
IFK Lidingö
IFK Lidingö is a Swedish multi-sport club based on the island of Lidingö, best known for its activities in athletics, orienteering, and football.
-
D.
IFK Eskilstuna
IFK Eskilstuna is a Swedish football club based in Eskilstuna, known for its long history and participation in the national league system.
-
E.
Hammarby IF
Hammarby IF is a Swedish sports club from Stockholm best known for its passionate fan base and prominent football team competing in the country’s top divisions.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915aacaa08190b31f54e230334406 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f696ec648190aa43655ac8a2b312 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.