Triple
T15304383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نول |
E365859
|
entity |
| Predicate | تعمل بتقنية |
P3047
|
FINISHED |
| Object | التعرّف بالموجات الراديوية RFID |
—
|
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: التعرّف بالموجات الراديوية RFID | Statement: [نول, تعمل بتقنية, التعرّف بالموجات الراديوية RFID]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تعمل بتقنية Context triple: [نول, تعمل بتقنية, التعرّف بالموجات الراديوية RFID]
-
A.
featuresTechnique
Indicates that something incorporates or makes use of a particular technique as part of its content or execution.
-
B.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
C.
technologicalFeature
Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
-
D.
developsTechnologyFor
Indicates that one entity creates, improves, or engineers technology specifically intended to be used by or to benefit another entity.
-
E.
isTechnical
Indicates that an entity possesses specialized technical knowledge, skills, or characteristics related to technology, engineering, or applied sciences.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.