Triple
T5850754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kettler Capitals Iceplex |
E130022
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Kettler |
E550574
|
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: Kettler | Statement: [Kettler Capitals Iceplex, sponsor, Kettler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kettler Context triple: [Kettler Capitals Iceplex, sponsor, Kettler]
-
A.
Kettler
chosen
Kettler is a German sporting goods and leisure equipment manufacturer known for products such as bicycles, fitness equipment, and table tennis tables.
-
B.
K2 Sports
K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
-
C.
Leeb
Leeb is a German surname most notably associated with Wilhelm Ritter von Leeb, a field marshal in the Wehrmacht during World War II.
-
D.
Desso Sports Systems
Desso Sports Systems is a company specializing in high-performance sports surfaces, particularly hybrid grass and artificial turf systems used in professional stadiums and sports facilities worldwide.
-
E.
Leister
Leister is a surname of English origin borne by various individuals, including those with the given name Edward.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035176c8c81909e24d263e4feb664 |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b1007bbc81908963d3d14c9210c5 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:55 p.m.