Triple
T13171587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia E62 |
E312987
|
entity |
| Predicate | hasMessagingFeatures |
P108879
|
FINISHED |
| Object | instant messaging |
—
|
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: instant messaging | Statement: [Nokia E62, hasMessagingFeatures, instant messaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMessagingFeatures Context triple: [Nokia E62, hasMessagingFeatures, instant messaging]
-
A.
hasMessenger
Indicates that one entity uses or is associated with another entity as a messenger or intermediary for communication.
-
B.
communicationCapability
Indicates that one entity has the ability or means to communicate with another entity through some channel or modality.
-
C.
hasBroadcastFeature
Indicates that an entity includes or supports a broadcast-related capability or functionality.
-
D.
supportsNokiaMessaging
Indicates that an entity provides compatibility with or functionality for Nokia Messaging services.
-
E.
supportsSMS
Indicates that one entity provides the capability for another entity to send, receive, or otherwise use SMS (Short Message Service) messaging.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:13 p.m.