Triple
T28613355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HotSync synchronization technology |
E724220
|
entity |
| Predicate | synchronizesDataType |
P74461
|
FINISHED |
| Object | contacts |
—
|
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: contacts | Statement: [HotSync synchronization technology, synchronizesDataType, contacts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: synchronizesDataType Context triple: [HotSync synchronization technology, synchronizesDataType, contacts]
-
A.
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.
-
B.
dataTypeSynced
chosen
Indicates that the data type of one entity has been successfully synchronized to match the data type of another entity or an external source.
-
C.
correctionDataType
Indicates that one entity specifies the type or category of correction applied to another entity.
-
D.
synchronizesWith
Indicates that two or more entities coordinate their states or activities so that they occur in step or remain temporally consistent with each other.
-
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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 4:31 a.m.