Triple
T30698679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon Z 7II |
E781548
|
entity |
| Predicate | hasInCameraTimelapse |
P198823
|
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, hasInCameraTimelapse, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInCameraTimelapse Context triple: [Nikon Z 7II, hasInCameraTimelapse, true]
-
A.
meetsInCamera
Indicates that two or more entities are physically present together in the same camera frame or shot at the same time.
-
B.
hasCameraWork
Indicates that an entity features or involves specific camera operation or cinematographic techniques performed by another entity.
-
C.
hasNumberOfStills
Indicates that an entity is associated with a specific count of still images or frames.
-
D.
hasCamera
Indicates that an entity is equipped with or possesses a camera.
-
E.
hasImagingCadence
Indicates the regular interval or frequency at which imaging observations are repeatedly acquired.
- 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_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69ff0d800ee88190835e233d9e846cdb |
completed | May 9, 2026, 10:33 a.m. |
Created at: April 29, 2026, 8:34 p.m.