Triple
T19921587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJI Avata |
E478807
|
entity |
| Predicate | maxTransmissionRange |
P14301
|
FINISHED |
| Object | up to 10 km |
—
|
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: up to 10 km | Statement: [DJI Avata, maxTransmissionRange, up to 10 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxTransmissionRange Context triple: [DJI Avata, maxTransmissionRange, up to 10 km]
-
A.
maximumReach
chosen
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
-
B.
maxCableLength
Indicates the maximum allowable length of a cable in the specified context or configuration.
-
C.
maxSingleCanalLength
Indicates the maximum length of any single canal segment associated with an entity.
-
D.
maximumNetworkSpanWithRepeaters
Indicates the greatest distance a network signal can reliably cover when using repeaters to extend its range.
-
E.
maximumRangeNauticalMiles
Indicates the greatest distance, measured in nautical miles, that something can travel or operate under specified conditions.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c6919c8190a96106532580b6b6 |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.