Triple
T1935613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siri |
E41436
|
entity |
| Predicate | canSendMessages |
P9928
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Siri, canSendMessages, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSendMessages Context triple: [Siri, canSendMessages, yes]
-
A.
hasMessenger
Indicates that one entity uses or is associated with another entity as a messenger or intermediary for communication.
-
B.
canUse
chosen
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
C.
canLiaiseWith
Indicates that one entity is able or permitted to communicate and coordinate directly with another entity for collaboration or information exchange.
-
D.
canMake
Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
-
E.
canPass
Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29c7be08190986df157bf5d7c9e |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.