Triple
T37946055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 9500 Communicator |
E946607
|
entity |
| Predicate | supportsTextMessaging |
P83813
|
FINISHED |
| Object | SMS |
E123437
|
NE 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: SMS | Statement: [Nokia 9500 Communicator, supportsTextMessaging, SMS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTextMessaging Context triple: [Nokia 9500 Communicator, supportsTextMessaging, SMS]
-
A.
supportsSMS
chosen
Indicates that one entity provides the capability for another entity to send, receive, or otherwise use SMS (Short Message Service) messaging.
-
B.
hasMessagingFeatures
Indicates that an entity provides or supports messaging-related capabilities or functions.
-
C.
supportsNokiaMessaging
Indicates that an entity provides compatibility with or functionality for Nokia Messaging services.
-
D.
hasMessenger
Indicates that one entity uses or is associated with another entity as a messenger or intermediary for communication.
-
E.
usesTextService
Indicates that an entity makes use of a text-based service to perform some function or obtain some benefit.
- F. None of above.
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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4117fa088081908a187ab615978dfb |
completed | June 28, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.