Triple
T26389494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krating Daeng |
E663373
|
entity |
| Predicate | packagingVolume |
P125762
|
FINISHED |
| Object | 150 ml |
—
|
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: 150 ml | Statement: [Krating Daeng, packagingVolume, 150 ml]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packagingVolume Context triple: [Krating Daeng, packagingVolume, 150 ml]
-
A.
packagingSize
chosen
Indicates the specific quantity or physical dimensions in which a product is packaged for sale or distribution.
-
B.
volumeOf
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
-
C.
approximateVolumeInCubicCentimetres
Indicates that one entity has an estimated or roughly calculated volume measured in cubic centimetres.
-
D.
packagingStyle
Indicates the manner or format in which a product or item is packaged or presented.
-
E.
pressurizedVolume
Indicates that a specified volume is maintained at a pressure different from ambient (typically higher), often as part of a controlled or sealed system.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610be3e848190b7acb7675e37e1f5 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:24 p.m.