Triple
T30774044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon Z 8 |
E783608
|
entity |
| Predicate | subjectDetectionAF |
P151609
|
FINISHED |
| Object | humans |
—
|
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: humans | Statement: [Nikon Z 8, subjectDetectionAF, humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectDetectionAF Context triple: [Nikon Z 8, subjectDetectionAF, humans]
-
A.
aimsToDetect
chosen
Indicates an intention or designed purpose to discover, identify, or recognize the presence or characteristics of something.
-
B.
hasAnimalDetectionAF
Indicates that an entity possesses or is associated with an animal-detection autofocus capability.
-
C.
mainDetector
Indicates that an entity serves as the primary or principal detector in relation to another entity or system.
-
D.
detected
Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
-
E.
aiFeatures
Indicates that an entity possesses, supports, or is associated with specific artificial intelligence capabilities or functionalities.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 29, 2026, 8:40 p.m.