Triple
T35698243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Morin |
E1031501
|
entity |
| Predicate | packagingReusability |
P5431
|
FINISHED |
| Object | reusable jars |
—
|
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: reusable jars | Statement: [Marie Morin, packagingReusability, reusable jars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packagingReusability Context triple: [Marie Morin, packagingReusability, reusable jars]
-
A.
reusability
chosen
Indicates that an entity can be used multiple times or in multiple contexts without significant modification or degradation of function.
-
B.
reusabilityImpact
Indicates how the ability to reuse something (such as a component, resource, or design) affects outcomes, performance, or other relevant factors in a given context.
-
C.
canBeRecycled
Indicates that an item or material is suitable for processing so it can be reused or converted into new products instead of being discarded as waste.
-
D.
usesRecycle
Indicates that an entity makes use of a recycling process, system, or materials as part of its actions or operations.
-
E.
isReusableCapsule
Indicates that a capsule is designed to be used multiple times rather than being discarded after a single use.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.