Triple
T19451663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jet Black for iPhone 7 |
E486625
|
entity |
| Predicate | officialWarning |
P96325
|
FINISHED |
| Object | Apple warned that fine micro-abrasions may appear with use |
—
|
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: Apple warned that fine micro-abrasions may appear with use | Statement: [Jet Black for iPhone 7, officialWarning, Apple warned that fine micro-abrasions may appear with use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialWarning Context triple: [Jet Black for iPhone 7, officialWarning, Apple warned that fine micro-abrasions may appear with use]
-
A.
warningType
Indicates the specific category or classification of a warning associated with an entity or event.
-
B.
warningGivenBy
Indicates that one entity issues or delivers a warning to another entity.
-
C.
warningSubject
Indicates that one entity is the topic or focus of a warning issued by another entity.
-
D.
warningIssued
Indicates that a formal warning or alert has been communicated from one entity to another regarding a potential or existing risk, problem, or violation.
-
E.
warningPublication
chosen
Indicates that an entity issues or is associated with a published warning or cautionary notice about something.
- 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_69e63392aab08190aab09b7c356e5b10 |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.