Triple
T1935611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siri |
E41436
|
entity |
| Predicate | canPerformTasks |
P30852
|
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, canPerformTasks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canPerformTasks Context triple: [Siri, canPerformTasks, yes]
-
A.
canBePerformed
Indicates that a particular action or activity is possible to carry out under given conditions or by a specified agent.
-
B.
canTakeActionWith
Indicates that one entity is able or permitted to perform an action jointly or in coordination with another entity.
-
C.
canAutomate
chosen
Indicates that one entity has the capability to perform, control, or execute another entity’s process or task automatically without continuous human intervention.
-
D.
canMake
Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
-
E.
canRunOn
Indicates that one entity is capable of operating, executing, or functioning on another entity (such as a platform, system, or environment).
- 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.