Triple
T11160913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stories (Snapchat feature) |
E264030
|
entity |
| Predicate | viewFormat |
P11549
|
FINISHED |
| Object | full-screen vertical |
—
|
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: full-screen vertical | Statement: [Stories (Snapchat feature), viewFormat, full-screen vertical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewFormat Context triple: [Stories (Snapchat feature), viewFormat, full-screen vertical]
-
A.
viewOnForms
Indicates that one entity has a particular perspective, opinion, or stance regarding forms, form-related processes, or form usage.
-
B.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
C.
viewType
chosen
Indicates the specific manner or format in which something is displayed, presented, or visually arranged.
-
D.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
E.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8817a90819087820d5241c58851 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cec26fc8190a5497d186306f935 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.