Triple
T30300822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Photos |
E770647
|
entity |
| Predicate | syncTechnology |
P36119
|
FINISHED |
| Object | iCloud Photos |
—
|
NE NERFINISHED |
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: iCloud Photos | Statement: [Apple Photos, syncTechnology, iCloud Photos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: syncTechnology Context triple: [Apple Photos, syncTechnology, iCloud Photos]
-
A.
synchronizationSoftware
Indicates that one entity is software designed to synchronize data, states, or processes between multiple systems, devices, or components.
-
B.
dataSyncedTo
Indicates that a set of data has been successfully synchronized from one system or location to another, reflecting the same state or contents.
-
C.
synchronizationType
Indicates the specific manner or mode in which two or more processes, systems, or events are coordinated to operate in temporal or state alignment.
-
D.
canSyncVia
chosen
Indicates that one entity is able to synchronize data or state with another entity using a specified method or channel.
-
E.
synchronizationDirection
Indicates the direction in which data or state is synchronized between related entities (e.g., one-way or bidirectional).
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6813a47dc81908cc75bae4d2b97cc |
completed | May 2, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:48 p.m.