Triple
T36483704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consumer Packaging and Labelling Act (except food) |
E898881
|
entity |
| Predicate | netQuantityExpression |
P20230
|
FINISHED |
| Object | must be expressed in terms of weight, volume, numerical count, or linear measure as appropriate |
—
|
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: must be expressed in terms of weight, volume, numerical count, or linear measure as appropriate | Statement: [Consumer Packaging and Labelling Act (except food), netQuantityExpression, must be expressed in terms of weight, volume, numerical count, or linear measure as appropriate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: netQuantityExpression Context triple: [Consumer Packaging and Labelling Act (except food), netQuantityExpression, must be expressed in terms of weight, volume, numerical count, or linear measure as appropriate]
-
A.
usesQuantity
Indicates that one entity employs or applies a specified amount or measure of another entity in performing an action or fulfilling a function.
-
B.
quantificationType
chosen
Indicates the specific kind or category of quantity or measurement being applied in a given context.
-
C.
valueExpressed
Indicates that a particular value, opinion, or quantitative measure is articulated, represented, or made explicit by an entity or expression.
-
D.
relatesToQuantity
Indicates a relationship where one entity is associated with, depends on, or is characterized by a specific quantity or amount.
-
E.
inferredQuantity
Indicates that a quantity associated with an entity is not directly observed or stated but has been derived or deduced from other available information.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.