Triple
T12684820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia E55 |
E303039
|
entity |
| Predicate | supportsNokiaMessaging |
P106275
|
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 E55, supportsNokiaMessaging, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsNokiaMessaging Context triple: [Nokia E55, supportsNokiaMessaging, 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.
hasMessenger
Indicates that one entity uses or is associated with another entity as a messenger or intermediary for communication.
-
C.
supportsGPRS
Indicates that one entity provides or is compatible with GPRS (General Packet Radio Service) functionality for another entity.
-
D.
supportsPushNotifications
Indicates that an entity is capable of sending or handling push notifications for another entity or user.
-
E.
supportsNetworkingModel
Indicates that one entity provides compatibility with, or implementation of, a specified networking model for another entity.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:21 p.m.