Triple
T34124705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaslon phased-array radar |
E875241
|
entity |
| Predicate | maximumDetectionRange |
P139672
|
FINISHED |
| Object | over 200 km against bomber-sized targets |
—
|
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: over 200 km against bomber-sized targets | Statement: [Zaslon phased-array radar, maximumDetectionRange, over 200 km against bomber-sized targets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDetectionRange Context triple: [Zaslon phased-array radar, maximumDetectionRange, over 200 km against bomber-sized targets]
-
A.
radarDetectionRange_km
chosen
Indicates the maximum distance in kilometers at which a radar system can detect a target.
-
B.
maximumWorkingDistance
Indicates the greatest allowable or effective distance at which the specified work, operation, or interaction can be performed.
-
C.
maximumReach
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
-
D.
autofocusDetectionRange
Indicates the distance range within which an autofocus system can reliably detect and lock focus on a subject.
-
E.
distanceToFarDetector
Indicates the measured or calculated distance from a given entity to the designated far detector.
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 1, 2026, 1:53 a.m.