Triple
T31223948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMART-L radar |
E796086
|
entity |
| Predicate | SMART-L EWC |
P171043
|
FINISHED |
| Object | enhanced warning capability variant |
—
|
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: enhanced warning capability variant | Statement: [SMART-L radar, SMART-L EWC, enhanced warning capability variant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SMART-L EWC Context triple: [SMART-L radar, SMART-L EWC, enhanced warning capability variant]
-
A.
isElectrically
Indicates that one entity has an electrical property, connection, or interaction in relation to another entity.
-
B.
E2Term
Indicates that an entity serves as the second term or argument in a binary relation or expression.
-
C.
eagleHolds
Indicates that an eagle is holding or grasping another entity with its body or talons.
-
D.
SAELevel
Indicates the level or degree of a subject according to the SAE (e.g., standard, classification, or grading) scale.
-
E.
hasElectricMotor
Indicates that an entity is equipped with, contains, or uses an electric motor as part of its operation or structure.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c4f35148190b58e80e79215092d |
completed | May 3, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 29, 2026, 9:10 p.m.