Triple
T38023788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 6680 |
E948712
|
entity |
| Predicate | GSMBands |
P68289
|
FINISHED |
| Object | 900 |
—
|
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: 900 | Statement: [Nokia 6680, GSMBands, 900]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GSMBands Context triple: [Nokia 6680, GSMBands, 900]
-
A.
frequencyBandSupported
chosen
Indicates that an entity supports operation or functionality within a specified frequency band.
-
B.
telecomStandardSupported
Indicates that a system, device, or service is compatible with and can operate according to a specified telecommunications standard.
-
C.
supportsGSM
Indicates that one entity provides compatibility with or operational support for GSM (Global System for Mobile communications) technology for another entity.
-
D.
hasCellularModel
Indicates that one entity serves as a cellular (cell-based) model or system used to study, represent, or simulate the biological properties or behavior of another entity.
-
E.
has5GSupport
Indicates that the subject device or system supports and is compatible with 5G network technology.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.