Triple
T12718140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 3510 |
E303900
|
entity |
| Predicate | hasRingtoneChannels |
P82796
|
FINISHED |
| Object | polyphonic (multiple channels) |
—
|
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: polyphonic (multiple channels) | Statement: [Nokia 3510, hasRingtoneChannels, polyphonic (multiple channels)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRingtoneChannels Context triple: [Nokia 3510, hasRingtoneChannels, polyphonic (multiple channels)]
-
A.
hasChannelCount
chosen
Indicates that an entity is associated with a specific number of channels.
-
B.
supportsRingtones
Indicates that one entity provides the capability for another entity to use or play ringtones.
-
C.
hasRingConfiguration
Indicates that one entity possesses or exhibits a specific arrangement or pattern of rings in its structure or form.
-
D.
hasNumberOfADPCMAChannels
Indicates the quantity of ADPCM (Adaptive Differential Pulse-Code Modulation) channels associated with or supported by an entity.
-
E.
hasNumberOfFMChannels
Indicates the relationship that specifies how many FM (frequency modulation) channels are associated with or supported by an entity.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9625d9da48190ab377f9328a0e1f5 |
completed | April 10, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:23 p.m.