Triple
T2199199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mustang Mach-E |
E50448
|
entity |
| Predicate | infotainment |
P30079
|
FINISHED |
| Object | large central touchscreen interface |
—
|
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: large central touchscreen interface | Statement: [Mustang Mach-E, infotainment, large central touchscreen interface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infotainment Context triple: [Mustang Mach-E, infotainment, large central touchscreen interface]
-
A.
musicVehicle
Indicates a relationship where a vehicle is associated with or used for playing, broadcasting, or producing music.
-
B.
entertainmentType
chosen
Indicates the kind or category of entertainment associated with an entity or event.
-
C.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
D.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
E.
drives
Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.