Triple
T29912003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVAudioRecorder |
E759692
|
entity |
| Predicate | canRecordTo |
P53910
|
FINISHED |
| Object | file URL |
—
|
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: file URL | Statement: [AVAudioRecorder, canRecordTo, file URL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canRecordTo Context triple: [AVAudioRecorder, canRecordTo, file URL]
-
A.
mayBeRecordedAs
Indicates that something can optionally be documented or stored in a recorded form, but is not required to be.
-
B.
areRecordedBy
Indicates that an event, observation, or piece of information is captured or documented by a specific recording agent, device, or process.
-
C.
recordingFor
Indicates that one entity serves as a recorded representation (such as audio, video, or data capture) created for, or documenting, another entity or event.
-
D.
usedForRecordingBy
chosen
Indicates that something serves as a medium, tool, or device that is employed by an agent to make a recording.
-
E.
recordingOf
Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6775ac1ac8190a8efe5439cc1e52d |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:10 p.m.