Triple
T5439928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitbread Book of the Year |
E122104
|
entity |
| Predicate | endOfSponsorship |
P35615
|
FINISHED |
| Object | Whitbread sponsorship ended in 2005 |
—
|
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: Whitbread sponsorship ended in 2005 | Statement: [Whitbread Book of the Year, endOfSponsorship, Whitbread sponsorship ended in 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endOfSponsorship Context triple: [Whitbread Book of the Year, endOfSponsorship, Whitbread sponsorship ended in 2005]
-
A.
sponsorshipEnded
Indicates that a previously existing sponsorship relationship between entities has been terminated or has come to an end.
-
B.
sponsorshipEndedWith
Indicates that a previously existing sponsorship relationship between entities has come to an end.
-
C.
sponsorEnded
Indicates that a sponsorship relationship between entities has been terminated or has come to an end.
-
D.
sponsorEnd
Indicates the point in time or condition at which a sponsorship relationship or sponsorship-related action comes to an end.
-
E.
sponsorEndDate_HP
chosen
Indicates the date on which a sponsorship relationship or agreement comes to an end.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.