Triple
T18797281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendsyssel FF |
E459668
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Vendsyssel FF |
—
|
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: Vendsyssel FF | Statement: [Vendsyssel FF, shortName, Vendsyssel FF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vendsyssel FF Context triple: [Vendsyssel FF, shortName, Vendsyssel FF]
-
A.
Vendsyssel FF
chosen
Vendsyssel FF is a Danish professional football club based in the town of Hjørring in northern Jutland.
-
B.
Haderslev FK
Haderslev FK is a Danish football club based in the town of Haderslev.
-
C.
Hvidovre IF
Hvidovre IF is a Danish football club known for developing notable players, including legendary goalkeeper Peter Schmeichel.
-
D.
Frederikssund IK
Frederikssund IK is a Danish sports club based in the town of Frederikssund, known primarily for its football activities.
-
E.
Næstved Boldklub
Næstved Boldklub is a Danish football club based in the town of Næstved, known for competing in the national league system and developing local talent.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a020821881909749f6a1c6cd195b |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.