Triple
T15134737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rs |
E361524
|
entity |
| Predicate | usedInAdvertisements |
P33256
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rs, usedInAdvertisements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInAdvertisements Context triple: [Rs, usedInAdvertisements, true]
-
A.
usedInMarketingMaterials
Indicates that something is included or featured as part of marketing or promotional materials.
-
B.
advertisedUsing
chosen
Indicates that something is promoted or made known through a particular medium, method, or channel of advertising.
-
C.
usesAdvertisingModel
Indicates that one entity employs or relies on another entity’s advertising-based business or revenue model.
-
D.
usedInBrand
Indicates that something (such as a component, material, or element) is utilized as part of or within a particular brand.
-
E.
introducedInAdvertisingCampaign
Indicates that an entity was first presented or made known to the public as part of a specific advertising campaign.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:07 a.m.