Triple
T7969927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronto Roasters |
E185296
|
entity |
| Predicate | immersiveDesignElement |
P57584
|
FINISHED |
| Object | diegetic in-story menu and signage |
—
|
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: diegetic in-story menu and signage | Statement: [Ronto Roasters, immersiveDesignElement, diegetic in-story menu and signage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immersiveDesignElement Context triple: [Ronto Roasters, immersiveDesignElement, diegetic in-story menu and signage]
-
A.
requiredDesignElement
Indicates that one entity must include, use, or incorporate another entity as a necessary design component or feature.
-
B.
designedFeature
chosen
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
C.
designedArea
Indicates that an area has been intentionally planned, shaped, or configured according to a specific design or purpose.
-
D.
designDescription
Indicates that an entity has a textual explanation or summary of its design, structure, or intended configuration.
-
E.
lightingDesigner
Indicates that an entity is responsible for planning, creating, or supervising the lighting design for a production, event, or environment.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd304dc8190b9feee5e17fc66db |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:13 p.m.