Triple
T10196764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infrared Array Camera |
E238781
|
entity |
| Predicate | numberOfChannels |
P82796
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Infrared Array Camera, numberOfChannels, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChannels Context triple: [Infrared Array Camera, numberOfChannels, 4]
-
A.
numberOfAdditionalChannels
Indicates the quantity of extra channels added beyond a base or default set in a given context.
-
B.
hasChannelCount
chosen
Indicates that an entity is associated with a specific number of channels.
-
C.
numberOfFullRangeChannels
Indicates the total count of channels that operate over the complete available range of values or frequencies.
-
D.
audioChannels
Indicates the number or configuration of distinct audio signal paths (such as mono, stereo, or surround) used in a recording, transmission, or playback.
-
E.
audioChannelsType
Indicates the type or configuration of audio channels used in an audio signal or recording (e.g., mono, stereo, surround).
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedcaf6688190938d8e56e29493eb |
completed | April 2, 2026, 4:17 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:13 p.m.