Triple
T33462021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Matin |
E856943
|
entity |
| Predicate | usedAdvertisements |
P195945
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Le Matin, usedAdvertisements, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAdvertisements Context triple: [Le Matin, usedAdvertisements, yes]
-
A.
advertisedUsing
Indicates that something is promoted or made known through a particular medium, method, or channel of advertising.
-
B.
usesAdvertisingModel
Indicates that one entity employs or relies on another entity’s advertising-based business or revenue model.
-
C.
advertises
Indicates that one entity promotes, publicizes, or markets another entity, typically to attract attention or customers.
-
D.
includesAdvertisingClause
Indicates that a contract or agreement contains a specific clause governing advertising-related rights, obligations, or restrictions.
-
E.
adType
Indicates the classification or category of an advertisement associated with an entity or event.
- F. None of above. chosen
Provenance (4 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
| PDg | Predicate description generation | batch_69fdf5cfa1ec8190b80d887fa1bfb4cf |
completed | May 8, 2026, 2:40 p.m. |
Created at: May 1, 2026, 1:37 a.m.