Triple
T5439943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitbread Book of the Year |
E122104
|
entity |
| Predicate | laterSponsorIndustry |
P33295
|
FINISHED |
| Object | coffee retail |
—
|
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: coffee retail | Statement: [Whitbread Book of the Year, laterSponsorIndustry, coffee retail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterSponsorIndustry Context triple: [Whitbread Book of the Year, laterSponsorIndustry, coffee retail]
-
A.
sponsorIndustry
chosen
Indicates that an entity acts as a sponsor for, or is financially or organizationally supporting, a particular industry or industrial sector.
-
B.
sponsorInHouse
Indicates that one entity formally supports, promotes, or funds another entity within the same organization, institution, or internal setting.
-
C.
sponsors
Indicates that one entity provides financial or material support to another, often in exchange for association, promotion, or fulfillment of certain activities or goals.
-
D.
sponsorField
Indicates that one entity acts as a sponsor specifically in the context of a particular field, domain, or area associated with another entity.
-
E.
sponsorEnd
Indicates the point in time or condition at which a sponsorship relationship or sponsorship-related action 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.