Triple
T5276457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toothsome Chocolate Emporium & Savory Feast Kitchen |
E119381
|
entity |
| Predicate | visualIdentity |
P63807
|
FINISHED |
| Object | steampunk machinery motifs |
—
|
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: steampunk machinery motifs | Statement: [Toothsome Chocolate Emporium & Savory Feast Kitchen, visualIdentity, steampunk machinery motifs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualIdentity Context triple: [Toothsome Chocolate Emporium & Savory Feast Kitchen, visualIdentity, steampunk machinery motifs]
-
A.
visualIdentityDesigner
Indicates that an entity is responsible for creating or shaping the visual identity or visual branding of another entity.
-
B.
visualTrademark
Indicates that one entity serves as a visual trademark or logo representing another entity.
-
C.
brandImage
Indicates the perceived overall impression, reputation, and associations that people hold about a particular brand.
-
D.
logoType
Indicates the specific category or style of a logo associated with an entity (e.g., wordmark, symbol, combination mark).
-
E.
logoFeature
Indicates that an entity serves as a distinctive visual element or component within a logo.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd8c9b82ac819080e798713c0bb4d8 |
completed | March 20, 2026, 6:06 p.m. |
Created at: March 20, 2026, 1:51 p.m.