Triple
T9027674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple R1 |
E216087
|
entity |
| Predicate | inputSources |
P75726
|
FINISHED |
| Object | cameras |
—
|
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: cameras | Statement: [Apple R1, inputSources, cameras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inputSources Context triple: [Apple R1, inputSources, cameras]
-
A.
sourcesInclude
Indicates that one entity’s content, data, or information is derived from, references, or incorporates material from another specified source.
-
B.
commonSources
Indicates that two or more entities share the same origin, cause, or source.
-
C.
requiresSources
Indicates that something must be supported, justified, or validated by one or more external sources.
-
D.
mainSourceType
chosen
Indicates the primary category or kind of source from which something originates or is derived.
-
E.
laterSources
Indicates that the information, claim, or reference is derived from sources that were created or recorded at a later time than the event or material being discussed.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7fcb308190af90d6be8700e498 |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.