Triple
T11973353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 6230 |
E284974
|
entity |
| Predicate | supportsMMS |
P203
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nokia 6230, supportsMMS, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMMS Context triple: [Nokia 6230, supportsMMS, true]
-
A.
supportsSMS
Indicates that one entity provides the capability for another entity to send, receive, or otherwise use SMS (Short Message Service) messaging.
-
B.
supportsMediaManagement
Indicates that one entity provides functionality or assistance for organizing, handling, or controlling media content for another entity.
-
C.
hasMessenger
Indicates that one entity uses or is associated with another entity as a messenger or intermediary for communication.
-
D.
supportsLTE
Indicates that one entity provides compatibility with or functionality for LTE (Long-Term Evolution) cellular communication for another entity.
-
E.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9039107e48190ae4c4efd6257dd3c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.