Triple
T20667715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightning F.6 |
E507935
|
entity |
| Predicate | avionics |
P7133
|
FINISHED |
| Object | AI.23B radar |
—
|
NE NERFINISHED |
How this triple was built (3 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: AI.23B radar | Statement: [Lightning F.6, avionics, AI.23B radar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AI.23B radar Context triple: [Lightning F.6, avionics, AI.23B radar]
-
A.
Artisan 3D radar
The Artisan 3D radar is a modern British naval air and surface surveillance radar system designed to provide advanced tracking and target detection capabilities for Royal Navy warships.
-
B.
Erieye radar
The Erieye radar is a Swedish airborne early warning and control (AEW&C) radar system known for its active electronically scanned array (AESA) technology and long-range surveillance capabilities.
-
C.
NUR-31 radar
The NUR-31 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
-
D.
Bystra radar
Bystra radar is a Polish mobile 3D air-defense radar system designed for detecting and tracking aerial targets at short to medium ranges.
-
E.
RBE2 radar
The RBE2 radar is an advanced active electronically scanned array (AESA) radar system developed by Thales for the Dassault Rafale, providing multi-mode air-to-air and air-to-ground detection, tracking, and targeting capabilities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AI.23B radar Target entity description: The AI.23B radar was an advanced airborne interception radar system used in later variants of the English Electric Lightning to provide improved target detection and missile guidance capabilities.
-
A.
Artisan 3D radar
The Artisan 3D radar is a modern British naval air and surface surveillance radar system designed to provide advanced tracking and target detection capabilities for Royal Navy warships.
-
B.
Erieye radar
The Erieye radar is a Swedish airborne early warning and control (AEW&C) radar system known for its active electronically scanned array (AESA) technology and long-range surveillance capabilities.
-
C.
NUR-31 radar
The NUR-31 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
-
D.
Bystra radar
Bystra radar is a Polish mobile 3D air-defense radar system designed for detecting and tracking aerial targets at short to medium ranges.
-
E.
RBE2 radar
The RBE2 radar is an advanced active electronically scanned array (AESA) radar system developed by Thales for the Dassault Rafale, providing multi-mode air-to-air and air-to-ground detection, tracking, and targeting capabilities.
- F. None of above. chosen
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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c4c4608190ae17da4a59e5ae80 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.