Triple
T14539824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poison Prevention Packaging Act |
E341137
|
entity |
| Predicate | safetyStandardType |
P43031
|
FINISHED |
| Object | performance-based packaging standard |
—
|
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: performance-based packaging standard | Statement: [Poison Prevention Packaging Act, safetyStandardType, performance-based packaging standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyStandardType Context triple: [Poison Prevention Packaging Act, safetyStandardType, performance-based packaging standard]
-
A.
standardsType
chosen
Indicates the classification or category of standards that apply to or are associated with an entity or activity.
-
B.
safetyStandardsSimilarTo
Indicates that two entities have safety standards that are comparable or closely aligned in their requirements or rigor.
-
C.
legalStandardType
Indicates the specific type or category of legal standard that governs or applies to a given legal rule, decision, or evaluation.
-
D.
isStandardOf
Indicates that something serves as the recognized norm, reference, or benchmark by which another thing is defined, measured, or evaluated.
-
E.
safetyCategory
Indicates the classification of something according to its level or type of safety.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.