Triple
T8668399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FuG 220 Lichtenstein SN-2 radar |
E205732
|
entity |
| Predicate | typicalDetectionRangeAgainstBomber |
P83981
|
FINISHED |
| Object | 3 to 4 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: 3 to 4 km | Statement: [FuG 220 Lichtenstein SN-2 radar, typicalDetectionRangeAgainstBomber, 3 to 4 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDetectionRangeAgainstBomber Context triple: [FuG 220 Lichtenstein SN-2 radar, typicalDetectionRangeAgainstBomber, 3 to 4 km]
-
A.
mainBomberAircraft
Indicates that an entity serves as the primary bomber aircraft used by another entity (such as a military force, operation, or country).
-
B.
opponentAircraft
Indicates that one aircraft is an adversary or opposing aircraft relative to another in a conflict or competitive context.
-
C.
typicalAircraftStrength
Indicates the usual or characteristic level of military strength or capability associated with an aircraft.
-
D.
targetedAircraft
Indicates that one entity has selected or designated an aircraft as the object of an attack, tracking, or other directed action.
-
E.
mainFighterAircraft
Indicates that an aircraft serves as the primary fighter aircraft for a given country, organization, or military force.
- F. None of above. chosen
Provenance (4 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a48b548190b78259072b1224ee |
completed | March 31, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:31 p.m.