Triple
T37886674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signal Iduna Arena (various venues) |
E945012
|
entity |
| Predicate | sponsorshipForm |
P189577
|
FINISHED |
| Object | commercial sponsorship |
—
|
LITERAL 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: commercial sponsorship | Statement: [Signal Iduna Arena (various venues), sponsorshipForm, commercial sponsorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorshipForm Context triple: [Signal Iduna Arena (various venues), sponsorshipForm, commercial sponsorship]
-
A.
sponsorField
Indicates that one entity acts as a sponsor specifically in the context of a particular field, domain, or area associated with another entity.
-
B.
sponsorshipRenamedFrom
Indicates that a sponsorship currently known by one name previously existed under a different, earlier name.
-
C.
sponsorshipName
Indicates the name or title associated with a sponsorship relationship between entities.
-
D.
sponsorFrom
Indicates that one entity provides sponsorship or financial backing originating from a specified source entity.
-
E.
sponsorTo
Indicates that one entity provides support, funding, or endorsement to another entity, typically to enable or promote the latter’s activities or initiatives.
- F. None of above. chosen
Provenance (4 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:19 p.m.