Triple
T14423318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naver Calendar |
E357634
|
entity |
| Predicate | syncCapability |
P56209
|
FINISHED |
| Object | cross-device synchronization |
—
|
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: cross-device synchronization | Statement: [Naver Calendar, syncCapability, cross-device synchronization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: syncCapability Context triple: [Naver Calendar, syncCapability, cross-device synchronization]
-
A.
syncScope
Indicates that two or more processes, threads, or operations are coordinated to occur within the same synchronization context or boundary.
-
B.
associatedCapability
chosen
Indicates that one entity has a related ability, function, or competence that is linked to or relevant for another entity.
-
C.
canSyncVia
Indicates that one entity is able to synchronize data or state with another entity using a specified method or channel.
-
D.
dataSyncedTo
Indicates that a set of data has been successfully synchronized from one system or location to another, reflecting the same state or contents.
-
E.
integratesCapability
Indicates that one entity incorporates or combines another entity’s capability into its own functionality.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91123f848190ba3fb18a76c2d24c |
completed | April 14, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.