Triple
T4118310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Atlantic GlobalFlyer |
E90346
|
entity |
| Predicate | sponsorBrand |
P44149
|
FINISHED |
| Object | Virgin Atlantic GlobalFlyer project |
—
|
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: Virgin Atlantic GlobalFlyer project | Statement: [Virgin Atlantic GlobalFlyer, sponsorBrand, Virgin Atlantic GlobalFlyer project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorBrand Context triple: [Virgin Atlantic GlobalFlyer, sponsorBrand, Virgin Atlantic GlobalFlyer project]
-
A.
sponsorType
Indicates the specific role or category of sponsorship that an entity provides in relation to another entity or event.
-
B.
sponsorEnd
Indicates the point in time or condition at which a sponsorship relationship or sponsorship-related action comes to an end.
-
C.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
-
D.
sponsorAssociatedWith
chosen
Indicates a relationship where a sponsor is connected to, involved with, or responsible for supporting another entity.
-
E.
sponsorAcronym
Indicates that one entity is the acronym or abbreviated form used to refer to the sponsoring organization of another entity.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.