Triple
T24936569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Have Blue |
E623326
|
entity |
| Predicate | radarSignatureGoal |
P157802
|
FINISHED |
| Object | extremely low radar cross-section compared to contemporary fighters |
—
|
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: extremely low radar cross-section compared to contemporary fighters | Statement: [Have Blue, radarSignatureGoal, extremely low radar cross-section compared to contemporary fighters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radarSignatureGoal Context triple: [Have Blue, radarSignatureGoal, extremely low radar cross-section compared to contemporary fighters]
-
A.
radarModel
Indicates that one entity is a radar system and the other is the specific model or type designation of that radar.
-
B.
radarType
Indicates the specific category or classification of radar associated with an entity.
-
C.
radarConfiguration
Indicates a relationship where a radar system is associated with or defined by a specific configuration or setup of its operational parameters.
-
D.
radarConfirmation
Indicates that an observed object, event, or target has been positively detected or verified using radar.
-
E.
radarInterface
Indicates that one entity serves as or provides a radar-based interface or interaction layer for another entity.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 5:30 a.m.