Triple
T20649729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universitetet |
E507455
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Norra Djurgården |
—
|
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: Norra Djurgården | Statement: [Universitetet, locatedNear, Norra Djurgården]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norra Djurgården Context triple: [Universitetet, locatedNear, Norra Djurgården]
-
A.
Djurgården
chosen
Djurgården is a central Stockholm island known for its parks, museums, and major attractions like the Vasa Museum and Skansen.
-
B.
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.
-
C.
IFK Göteborg
IFK Göteborg is a prominent Swedish football club based in Gothenburg, known for its domestic success and historic UEFA Cup victories.
-
D.
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.
-
E.
Södertälje SK
Södertälje SK is a Swedish professional ice hockey club based in Södertälje, known for its long history and multiple national championships.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af2133048190a6308074a3b3347e |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.