Triple
T19169028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJI Inspire |
E469264
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | DJI Inspire 1 |
—
|
NE NERFINISHED |
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: DJI Inspire 1 | Statement: [DJI Inspire, hasMember, DJI Inspire 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJI Inspire 1 Context triple: [DJI Inspire, hasMember, DJI Inspire 1]
-
A.
DJI Inspire
chosen
DJI Inspire is a professional-grade series of camera drones known for advanced aerial cinematography capabilities and high-performance flight features.
-
B.
DJI Avata
DJI Avata is a compact first-person-view (FPV) camera drone designed for immersive, agile flight and stabilized aerial video.
-
C.
DJI Agras
DJI Agras is a series of agricultural drones designed for tasks like crop spraying, seeding, and precision farming.
-
D.
DJI RS 3 Mini
The DJI RS 3 Mini is a lightweight, compact 3-axis camera gimbal designed for mirrorless cameras, offering professional stabilization in a highly portable form factor.
-
E.
DJI RSC 3
The DJI RSC 3 is a compact, foldable 3-axis camera gimbal stabilizer designed for mirrorless and DSLR cameras, offering advanced stabilization and intelligent shooting modes for professional-quality video.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f162ac648190a5f60c6a77b68304 |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.