Triple
T4346266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIS Insurance |
E97909
|
entity |
| Predicate | sponsorshipStatus |
P35688
|
FINISHED |
| Object | former title sponsor of the Scottish League Cup |
—
|
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: former title sponsor of the Scottish League Cup | Statement: [CIS Insurance, sponsorshipStatus, former title sponsor of the Scottish League Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorshipStatus Context triple: [CIS Insurance, sponsorshipStatus, former title sponsor of the Scottish League Cup]
-
A.
sponsorStatus
Indicates the current state or condition of an entity’s sponsorship relationship, such as whether it is active, pending, or inactive.
-
B.
stateOfSponsor
Indicates the current status or condition of a sponsor in relation to the sponsored entity or activity.
-
C.
hasSponsor
Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
-
D.
sponsorshipEnded
chosen
Indicates that a previously existing sponsorship relationship between entities has been terminated or has come to an end.
-
E.
sponsorshipName
Indicates the name or title associated with a sponsorship relationship between entities.
- F. None of above.
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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3518d6728819084a2f40ae0bd3ac8 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:15 p.m.