Triple
T7893696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster |
E183296
|
entity |
| Predicate | hasPackagingFormat |
P39622
|
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: [Monster, hasPackagingFormat, aluminum can]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPackagingFormat Context triple: [Monster, hasPackagingFormat, aluminum can]
-
A.
hasProductionFormat
Indicates that an entity is associated with, or presented in, a particular production or media format.
-
B.
packagingStyle
chosen
Indicates the manner or format in which a product or item is packaged or presented.
-
C.
hasPublishingFormat
Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
-
D.
hasFileFormat
Indicates that one entity (typically a digital file or resource) is encoded, stored, or represented using a specific file format defined by the other entity.
-
E.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a008fb88190a039fec40483ab93 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:01 p.m.