Triple
T29020362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duff Lite |
E737434
|
entity |
| Predicate | containerTypeInDepictions |
P34427
|
FINISHED |
| Object | aluminum can |
—
|
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: aluminum can | Statement: [Duff Lite, containerTypeInDepictions, aluminum can]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containerTypeInDepictions Context triple: [Duff Lite, containerTypeInDepictions, aluminum can]
-
A.
containerType
chosen
Indicates the specific kind or category of container associated with or used to hold an entity.
-
B.
commonlyTransportedIn
Indicates that something is usually carried, moved, or conveyed using a particular vehicle, container, or mode of transport.
-
C.
compartmentDepicts
Indicates that a specific compartment or section visually represents or portrays a particular subject or entity.
-
D.
transportedIn
Indicates that one entity is carried or conveyed inside another entity as a means of transport.
-
E.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: April 28, 2026, 9:48 a.m.