Triple
T38700783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia Asha 500 |
E950133
|
entity |
| Predicate | dualSIMVariantName |
P191547
|
FINISHED |
| Object | Nokia Asha 500 Dual SIM |
—
|
NE NERFINISHED |
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: Nokia Asha 500 Dual SIM | Statement: [Nokia Asha 500, dualSIMVariantName, Nokia Asha 500 Dual SIM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dualSIMVariantName Context triple: [Nokia Asha 500, dualSIMVariantName, Nokia Asha 500 Dual SIM]
-
A.
supportsDualSIM
Indicates that one entity provides or enables the use of two SIM cards simultaneously or interchangeably in another entity.
-
B.
featuresDualRole
Indicates that an entity simultaneously fulfills two distinct roles or functions within a given context.
-
C.
hasOfficialDualNameWith
Indicates that two entities share an officially recognized dual or joint name used in formal contexts.
-
D.
mobileVariant
Indicates that one entity is a mobile-specific version or adaptation of another entity.
-
E.
hasSIMType
Indicates that an entity uses or is associated with a specific type or category of SIM (Subscriber Identity Module).
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.