Triple
T19223201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D&AD Yellow Pencil |
E480669
|
entity |
| Predicate | notableRegionOfInfluence |
P39809
|
FINISHED |
| Object | global creative industry |
—
|
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: global creative industry | Statement: [D&AD Yellow Pencil, notableRegionOfInfluence, global creative industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRegionOfInfluence Context triple: [D&AD Yellow Pencil, notableRegionOfInfluence, global creative industry]
-
A.
hasRegionalInfluenceFrom
Indicates that one entity’s influence, impact, or authority in a region is derived from or shaped by another entity.
-
B.
notableInRegion
chosen
Indicates that an entity is recognized as notable, prominent, or significant within a specified geographic region.
-
C.
influencesRegion
Indicates that one entity has an effect on, shapes, or alters the conditions, characteristics, or behavior of a specified region.
-
D.
historicalRegionOfInfluence
Indicates that one entity was historically within the geographic, political, or cultural sphere of influence of another entity.
-
E.
countryInfluence
Indicates the degree to which one country affects or shapes the policies, decisions, or conditions within another country or in the international arena.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa94aed081909045cfed8edc6039 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:24 p.m.