Triple
T30539020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindalah |
E777223
|
entity |
| Predicate | languageUsedInBranding |
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: [Sindalah, languageUsedInBranding, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageUsedInBranding Context triple: [Sindalah, languageUsedInBranding, English]
-
A.
officialLanguageOfBranding
chosen
Indicates that a particular language is used as the official or primary language in the branding or marketing materials of an entity.
-
B.
brandingStyle
Indicates the specific visual and stylistic approach used to represent a brand’s identity.
-
C.
brandingAuthority
Indicates that one entity has the recognized power or right to define, control, or approve the branding (name, logo, identity, or brand usage) of another entity or product.
-
D.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
-
E.
brandingThrough
Indicates that one entity promotes, communicates, or shapes the identity of another entity by means of a specific brand or branding activity.
- 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_69f2249d183c8190b79937c1768d2163 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff21cbd9108190a52c0ba42004c669 |
completed | May 9, 2026, noon |
| PD | Predicate disambiguation | batch_69ff1faea91881908c626c70bca5100a |
completed | May 9, 2026, 11:51 a.m. |
Created at: April 29, 2026, 8:19 p.m.