Triple
T15304385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نول |
E365859
|
entity |
| Predicate | تُشحن عبر |
P21813
|
FINISHED |
| Object | آلات بيع وإعادة شحن في محطات المترو |
—
|
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: آلات بيع وإعادة شحن في محطات المترو | Statement: [نول, تُشحن عبر, آلات بيع وإعادة شحن في محطات المترو]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُشحن عبر Context triple: [نول, تُشحن عبر, آلات بيع وإعادة شحن في محطات المترو]
-
A.
supportsChargingMethod
Indicates that one entity is compatible with and can operate using a specified charging method.
-
B.
charging
Indicates that one entity is supplying electrical energy to another entity’s battery or power storage system.
-
C.
chargesVia
chosen
Indicates that one entity charges or powers another entity using a specified medium, method, or interface.
-
D.
rechargedBy
Indicates that one entity restores or replenishes the energy, power, or charge of another entity.
-
E.
chargingModel
Indicates the pricing or billing scheme applied to an entity, such as how costs are calculated or charged.
- 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.