Triple
T30949498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon Z 50 |
E788494
|
entity |
| Predicate | weightWithBatteryAndCard |
P170046
|
FINISHED |
| Object | approx. 450 g |
—
|
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: approx. 450 g | Statement: [Nikon Z 50, weightWithBatteryAndCard, approx. 450 g]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightWithBatteryAndCard Context triple: [Nikon Z 50, weightWithBatteryAndCard, approx. 450 g]
-
A.
bodyWeightWithBattery
chosen
Indicates the total weight of an object measured while its battery is installed.
-
B.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
C.
totalWeight
Indicates the combined weight resulting from summing the weights of all relevant constituent parts or items.
-
D.
wheelWeightTypical
Indicates the typical or standard weight associated with a wheel.
-
E.
hasInternalBattery
Indicates that one entity possesses a built-in power source contained within itself, rather than relying solely on external power.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 8:53 p.m.