Triple
T11751721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 130 |
E279421
|
entity |
| Predicate | supportsMemoryCardCapacity |
P17632
|
FINISHED |
| Object | up to 32 GB |
—
|
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: up to 32 GB | Statement: [Nokia 130, supportsMemoryCardCapacity, up to 32 GB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMemoryCardCapacity Context triple: [Nokia 130, supportsMemoryCardCapacity, up to 32 GB]
-
A.
supportsMemoryCard
chosen
Indicates that one entity is compatible with and can accept or use a memory card associated with another entity.
-
B.
dataCapacity
Indicates the maximum amount of data that something can store, handle, or transmit.
-
C.
hasMemoryIn
Indicates that an entity possesses or stores memory, information, or experiences within a specified context, location, or medium.
-
D.
ramCapacity
Indicates the amount of system memory (RAM) that an entity possesses or supports.
-
E.
dataCapacityDigits
Indicates the number of decimal digits used to represent or specify a data capacity value.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.