Triple
T8891984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Powerhouse |
E211700
|
entity |
| Predicate | hasGovernmentBranding |
P48662
|
FINISHED |
| Object | Northern Powerhouse logo |
—
|
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: Northern Powerhouse logo | Statement: [Northern Powerhouse, hasGovernmentBranding, Northern Powerhouse logo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGovernmentBranding Context triple: [Northern Powerhouse, hasGovernmentBranding, Northern Powerhouse logo]
-
A.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
B.
hasOfficialUse
Indicates that something is used in an authorized or formally recognized capacity, typically by an official body or for official purposes.
-
C.
hasGlobalBrand
Indicates that an entity possesses a brand that is recognized and operates across multiple countries or worldwide.
-
D.
hasBrandIdentityElement
chosen
Indicates that an entity includes or is associated with a specific component of its overall brand identity (such as a logo, color scheme, or tagline).
-
E.
isGovernmentFlag
Indicates that something is the official flag used by a government as its national or state symbol.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61ba33c48190a657fc4147a326c0 |
completed | April 1, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.