Triple
T19433721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AppleCare+ |
E486180
|
entity |
| Predicate | supportChannel |
P44485
|
FINISHED |
| Object | phone support |
—
|
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: phone support | Statement: [AppleCare+, supportChannel, phone support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportChannel Context triple: [AppleCare+, supportChannel, phone support]
-
A.
supportStudioCountry
Indicates that a country provides support or backing to a particular studio.
-
B.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
C.
hasCustomerServiceChannel
chosen
Indicates that an entity provides or is associated with a specific channel or medium through which customer service interactions can occur.
-
D.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
E.
supportBase
Indicates that one entity serves as a foundational or backing structure that physically or functionally supports another entity.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335dae10819096e1825741f814ed |
completed | April 20, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.