Triple
T11243791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPad Pro (11-inch, 2nd generation) |
E266144
|
entity |
| Predicate | microphoneCount |
P22669
|
FINISHED |
| Object | five studio‑quality microphones |
—
|
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: five studio‑quality microphones | Statement: [iPad Pro (11-inch, 2nd generation), microphoneCount, five studio‑quality microphones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: microphoneCount Context triple: [iPad Pro (11-inch, 2nd generation), microphoneCount, five studio‑quality microphones]
-
A.
hasMicrophones
chosen
Indicates that one entity possesses, includes, or is equipped with one or more microphones.
-
B.
numberOfSpeakersStatus
Indicates the status or condition of information about how many speakers are involved (e.g., whether the number of speakers is known, estimated, missing, or otherwise qualified).
-
C.
audioChannels
Indicates the number or configuration of distinct audio signal paths (such as mono, stereo, or surround) used in a recording, transmission, or playback.
-
D.
audioChannelsType
Indicates the type or configuration of audio channels used in an audio signal or recording (e.g., mono, stereo, surround).
-
E.
numberOfSpeakersDate
Indicates the number of speakers associated with an entity as measured or recorded on a specific date.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:30 p.m.