Triple
T13088151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warsaw Pact airlines |
E310389
|
entity |
| Predicate | typicalBranding |
P14764
|
FINISHED |
| Object | socialist state symbols and colors |
—
|
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: socialist state symbols and colors | Statement: [Warsaw Pact airlines, typicalBranding, socialist state symbols and colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBranding Context triple: [Warsaw Pact airlines, typicalBranding, socialist state symbols and colors]
-
A.
brandingStyle
Indicates the specific visual and stylistic approach used to represent a brand’s identity.
-
B.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
C.
brandingFeature
chosen
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
-
D.
brandingNote
Indicates that an entity has an associated note or comment specifically about its branding, such as style, usage, or presentation guidelines.
-
E.
sharesBrandingWith
Indicates that two entities use the same or closely related branding elements, such as name, logo, or visual identity.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981378dd08190b4f00e4e5df0e480 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:02 p.m.