Triple
T30698678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon Z 7II |
E781548
|
entity |
| Predicate | hasMicrophonePort |
P181252
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nikon Z 7II, hasMicrophonePort, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMicrophonePort Context triple: [Nikon Z 7II, hasMicrophonePort, true]
-
A.
hasMicrophones
Indicates that one entity possesses, includes, or is equipped with one or more microphones.
-
B.
microphoneInput
Indicates that an entity receives or processes audio signals captured from a microphone.
-
C.
hasSpeakerphone
Indicates that an entity is equipped with or supports the use of a speakerphone function for audio communication.
-
D.
hasUSBPort
Indicates that one entity is equipped with or includes a USB port available for connection or data/power transfer.
-
E.
hasVoiceRecorder
Indicates that one entity possesses or is equipped with a voice recording device or capability in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f76759b3c48190ad8f1b33596f98c4 |
completed | May 3, 2026, 3:18 p.m. |
Created at: April 29, 2026, 8:34 p.m.