Triple
T4241520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VIRGIN |
E95422
|
entity |
| Predicate | relatedToBrand |
P10460
|
FINISHED |
| Object | Virgin Atlantic brand identity |
—
|
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 brand identity | Statement: [VIRGIN, relatedToBrand, Virgin Atlantic brand identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToBrand Context triple: [VIRGIN, relatedToBrand, Virgin Atlantic brand identity]
-
A.
relatedBrand
chosen
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
B.
associatedBrandCategory
Indicates that a brand is linked to or classified under a particular product or service category.
-
C.
associatedBrandCollection
Indicates a relationship where one or more brands are grouped or linked together as part of a specific collection.
-
D.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
E.
referencesBrand
Indicates that one entity mentions, cites, or otherwise refers to a specific brand in its content or context.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e87c9d88190a093b1289df5b974 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.