Triple
T37945939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony Ericsson P900 |
E946605
|
entity |
| Predicate | supportsRingtoneFormats |
P85613
|
FINISHED |
| Object | MIDI |
—
|
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: MIDI | Statement: [Sony Ericsson P900, supportsRingtoneFormats, MIDI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRingtoneFormats Context triple: [Sony Ericsson P900, supportsRingtoneFormats, MIDI]
-
A.
supportsRingtones
Indicates that one entity provides the capability for another entity to use or play ringtones.
-
B.
audioFormatSupported
chosen
Indicates that a particular audio format is recognized and can be correctly processed or played by a given system or component.
-
C.
supportsTone
Indicates that one entity is compatible with, enables, or can correctly handle a specified tone or tonal characteristic of another entity.
-
D.
supportsLibraryFormat
Indicates that one entity is capable of handling, using, or being compatible with a specified library format associated with another entity.
-
E.
hasPlayFormat
Indicates that something (such as a game, media, or activity) is associated with a particular format or mode in which it is played or experienced.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.