Triple
T4706429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJI |
E104398
|
entity |
| Predicate | notableProductLine |
P3585
|
FINISHED |
| Object |
DJI Air
DJI Air is a series of compact, consumer-focused camera drones known for combining high-quality aerial imaging with portable, foldable designs.
|
E104398
|
NE FINISHED |
How this triple was built (4 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 Air | Statement: [DJI, notableProductLine, DJI Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJI Air Context triple: [DJI, notableProductLine, DJI Air]
-
A.
DJI Inspire
DJI Inspire is a professional-grade series of camera drones known for advanced aerial cinematography capabilities and high-performance flight features.
-
B.
DJI
DJI is a leading Chinese technology company best known worldwide for manufacturing consumer and professional drones and aerial imaging systems.
-
C.
^DJI
^DJI is the ticker symbol for the Dow Jones Industrial Average, a major U.S. stock market index tracking 30 large, publicly traded blue-chip companies.
-
D.
Tello
Tello is a Spanish-language surname borne by various notable individuals across fields such as archaeology, politics, and sports.
-
E.
ANKA UAV
ANKA UAV is a Turkish-made medium-altitude long-endurance unmanned aerial vehicle designed primarily for intelligence, surveillance, and reconnaissance missions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DJI Air Triple: [DJI, notableProductLine, DJI Air]
Generated description
DJI Air is a series of compact, consumer-focused camera drones known for combining high-quality aerial imaging with portable, foldable designs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DJI Air Target entity description: DJI Air is a series of compact, consumer-focused camera drones known for combining high-quality aerial imaging with portable, foldable designs.
-
A.
DJI Inspire
DJI Inspire is a professional-grade series of camera drones known for advanced aerial cinematography capabilities and high-performance flight features.
-
B.
DJI
chosen
DJI is a leading Chinese technology company best known worldwide for manufacturing consumer and professional drones and aerial imaging systems.
-
C.
^DJI
^DJI is the ticker symbol for the Dow Jones Industrial Average, a major U.S. stock market index tracking 30 large, publicly traded blue-chip companies.
-
D.
Tello
Tello is a Spanish-language surname borne by various notable individuals across fields such as archaeology, politics, and sports.
-
E.
ANKA UAV
ANKA UAV is a Turkish-made medium-altitude long-endurance unmanned aerial vehicle designed primarily for intelligence, surveillance, and reconnaissance missions.
- F. None of above.
Provenance (5 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63e9f0b88190820aa7fba2f91b6e |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67bb17e0819099a6d4f3ca54f616 |
completed | March 21, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69be6bd61d7c819083c7d8cf9cb774d2 |
completed | March 21, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be6c2f99788190a8e80bb95fe08726 |
completed | March 21, 2026, 10 a.m. |
Created at: March 20, 2026, 1:17 p.m.