Triple
T20322124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-400 missile system |
E492230
|
entity |
| Predicate | radarSystem |
P32375
|
FINISHED |
| Object | 92N6E Grave Stone engagement 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: 92N6E Grave Stone engagement radar | Statement: [S-400 missile system, radarSystem, 92N6E Grave Stone engagement radar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 92N6E Grave Stone engagement radar Context triple: [S-400 missile system, radarSystem, 92N6E Grave Stone engagement radar]
-
A.
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.
-
B.
APY-10 multi-mission surface search radar
The APY-10 multi-mission surface search radar is an advanced maritime surveillance and targeting radar system used on platforms like the Boeing P-8 Poseidon for detecting, tracking, and classifying surface and subsurface contacts in all weather conditions.
-
C.
Northrop Grumman MESA radar
The Northrop Grumman MESA radar is an advanced airborne early warning and control radar system featuring a distinctive dorsal "top hat" antenna that provides 360-degree surveillance and battle management capabilities.
-
D.
NUR-21 radar
The NUR-21 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
-
E.
AN/MPQ-65 radar
The AN/MPQ-65 radar is an advanced multifunction phased-array radar used in later variants of the Patriot air and missile defense system, providing improved target detection, tracking, and engagement capabilities over its predecessor.
- 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: 92N6E Grave Stone engagement radar Target entity description: The 92N6E Grave Stone is a Russian multifunction engagement radar used to track targets and guide missiles within the S-400 long-range air defense system.
-
A.
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.
-
B.
APY-10 multi-mission surface search radar
The APY-10 multi-mission surface search radar is an advanced maritime surveillance and targeting radar system used on platforms like the Boeing P-8 Poseidon for detecting, tracking, and classifying surface and subsurface contacts in all weather conditions.
-
C.
Northrop Grumman MESA radar
The Northrop Grumman MESA radar is an advanced airborne early warning and control radar system featuring a distinctive dorsal "top hat" antenna that provides 360-degree surveillance and battle management capabilities.
-
D.
NUR-21 radar
The NUR-21 radar is a Polish ground-based air-surveillance radar system developed by PIT-RADWAR for detecting and tracking aerial targets.
-
E.
AN/MPQ-65 radar
The AN/MPQ-65 radar is an advanced multifunction phased-array radar used in later variants of the Patriot air and missile defense system, providing improved target detection, tracking, and engagement capabilities over its predecessor.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778c4430819083b17da5067b88ef |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:20 a.m.