Triple
T27761647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bocksbeutel |
E701484
|
entity |
| Predicate | packagingFunction |
P163553
|
FINISHED |
| Object | brand differentiation |
—
|
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: brand differentiation | Statement: [Bocksbeutel, packagingFunction, brand differentiation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packagingFunction Context triple: [Bocksbeutel, packagingFunction, brand differentiation]
-
A.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
B.
packagingStyle
Indicates the manner or format in which a product or item is packaged or presented.
-
C.
capsuleFunction
Indicates that a capsule is designed or used to perform a particular function, role, or therapeutic purpose.
-
D.
packagingTechnology
Indicates the method or technology used to package a product or item.
-
E.
visualPackage
Indicates that one entity is a visual bundle or collection that groups together related visual elements or components associated with another entity.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 4:27 p.m.