Triple
T19965391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJI Agras |
E479916
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object |
Agras
Agras is a series of agricultural drones developed by DJI for tasks such as crop spraying and precision farming.
|
E1404080
|
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: Agras | Statement: [DJI Agras, marketedAs, Agras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agras Context triple: [DJI Agras, marketedAs, Agras]
-
A.
Kharas
Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
B.
Khotta
Khotta is an alternate name for the Khortha language, an Indo-Aryan language spoken primarily in the Indian state of Jharkhand.
-
C.
Khar
Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
-
D.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
-
E.
Touqan
Touqan is a family name of notable Palestinian origin, associated with prominent poets, politicians, and intellectuals in the Arab world.
- 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: Agras Triple: [DJI Agras, marketedAs, Agras]
Generated description
Agras is a series of agricultural drones developed by DJI for tasks such as crop spraying and precision farming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agras Target entity description: Agras is a series of agricultural drones developed by DJI for tasks such as crop spraying and precision farming.
-
A.
Kharas
Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
B.
Khotta
Khotta is an alternate name for the Khortha language, an Indo-Aryan language spoken primarily in the Indian state of Jharkhand.
-
C.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
-
D.
Khar
Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
-
E.
Touqan
Touqan is a family name of notable Palestinian origin, associated with prominent poets, politicians, and intellectuals in the Arab world.
- F. None of above. chosen
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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc4f47c8190a721f5e488150d81 |
completed | April 20, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdd12e4c81908488a7a829ee7bc2 |
completed | May 16, 2026, 5:17 a.m. |
| NEDg | Description generation | batch_6a07ff37a0508190af7cf7a045201338 |
completed | May 16, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ffad71508190a6636834b7f25434 |
completed | May 16, 2026, 5:25 a.m. |
Created at: April 10, 2026, 1:54 p.m.