Triple
T7541490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djurgårdens IF |
E178284
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Djurgårdens IF Bandy |
E178284
|
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: Djurgårdens IF Bandy | Statement: [Djurgårdens IF, hasSection, Djurgårdens IF Bandy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Djurgårdens IF Bandy Context triple: [Djurgårdens IF, hasSection, Djurgårdens IF Bandy]
-
A.
Djurgårdens IF
chosen
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.
-
B.
Djurgården
Djurgården is a central Stockholm island known for its parks, museums, and major attractions like the Vasa Museum and Skansen.
-
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.
Södertälje SK
Södertälje SK is a Swedish professional ice hockey club based in Södertälje, known for its long history and multiple national championships.
-
E.
Lidingö SK
Lidingö SK is a Swedish multi-sport club based in Lidingö, known especially for its athletics and orienteering activities.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8750f80819088ddfb7a5580b5df |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89a834d4c8190acf521fcff884109 |
completed | March 29, 2026, 3:20 a.m. |
Created at: March 27, 2026, 3:48 p.m.