Triple
T30698683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon Z 7II |
E781548
|
entity |
| Predicate | bodyWeightWithBattery |
P170046
|
FINISHED |
| Object | approx. 705 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. 705 g | Statement: [Nikon Z 7II, bodyWeightWithBattery, approx. 705 g]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyWeightWithBattery Context triple: [Nikon Z 7II, bodyWeightWithBattery, approx. 705 g]
-
A.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
B.
wetWeight
Indicates the weight of an object or substance measured while it still contains its natural or added moisture, before any drying.
-
C.
approximateWeightInPounds
Indicates the estimated weight of an entity expressed in pounds, rather than an exact measured value.
-
D.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
E.
wheelWeightTypical
Indicates the typical or standard weight associated with a wheel.
- 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_69f68bdceb8c8190b78e499ea2357e0f |
completed | May 2, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 29, 2026, 8:34 p.m.