Triple
T9764325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sundsvall |
E236744
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object | GIF Sundsvall |
E734655
|
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: GIF Sundsvall | Statement: [Sundsvall, hasSportsTeam, GIF Sundsvall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GIF Sundsvall Context triple: [Sundsvall, hasSportsTeam, GIF Sundsvall]
-
A.
GIF Sundsvall
chosen
GIF Sundsvall is a Swedish professional football club based in Sundsvall, known for competing in the country’s top divisions and for its regional rivalry with Östersunds FK.
-
B.
GIFAS
GIFAS (Groupement des Industries Françaises Aéronautiques et Spatiales) is the French aerospace industries association representing and promoting France’s aviation, space, and defense sectors.
-
C.
GIFF
GIFF is the commonly used acronym for the Gothenburg Film Festival, one of the leading and largest film festivals in Scandinavia.
-
D.
Eskilstuna Guif
Eskilstuna Guif is a Swedish handball club based in Eskilstuna, known for competing in the country’s top handball leagues.
-
E.
Gröna Lund
Gröna Lund is a historic amusement park in Stockholm, Sweden, known for its roller coasters, live music concerts, and scenic waterfront location.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09ed54c8190a5879e14184cddf4 |
completed | April 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcf2cdd08190a051d406e199f45a |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:25 p.m.