Triple
T24292580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Electric Lightning in RAF air defence role |
E605862
|
entity |
| Predicate | radarUse |
P6751
|
FINISHED |
| Object | airborne interception radar guided interceptions |
—
|
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: airborne interception radar guided interceptions | Statement: [English Electric Lightning in RAF air defence role, radarUse, airborne interception radar guided interceptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radarUse Context triple: [English Electric Lightning in RAF air defence role, radarUse, airborne interception radar guided interceptions]
-
A.
radarType
chosen
Indicates the specific category or classification of radar associated with an entity.
-
B.
radarInterface
Indicates that one entity serves as or provides a radar-based interface or interaction layer for another entity.
-
C.
radarEquipped
Indicates that an entity is equipped with or has access to radar detection equipment or radar-based sensing capability.
-
D.
radarEquipment
Indicates that one entity is radar equipment used for detecting, tracking, or measuring objects relative to another entity.
-
E.
radarRequirement
Indicates that one entity specifies, imposes, or is subject to a requirement related to radar capabilities, performance, or usage in relation to another entity.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f29157840c81908da157e93ad21527 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.