Triple
T17658475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brevant Seeds |
E440185
|
entity |
| Predicate | languageOfBrandMaterials |
P98842
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Brevant Seeds, languageOfBrandMaterials, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfBrandMaterials Context triple: [Brevant Seeds, languageOfBrandMaterials, English]
-
A.
languageOfMaterial
Indicates the language in which a given material, resource, or content is expressed or presented.
-
B.
languageOfProduct
Indicates the language in which a product is written, labeled, presented, or otherwise made available.
-
C.
serviceBrandLanguage
Indicates the language or languages in which a service brand communicates or is presented.
-
D.
officialLanguageOfBranding
chosen
Indicates that a particular language is used as the official or primary language in the branding or marketing materials of an entity.
-
E.
brandLanguageVariant
Indicates that one language variant of a brand is related to or derived from another language version of the same brand.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:33 a.m.