Triple
T11427666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miller Lite |
E270794
|
entity |
| Predicate | availableInContainerSize |
P82040
|
FINISHED |
| Object | 12 oz 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: 12 oz can | Statement: [Miller Lite, availableInContainerSize, 12 oz can]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableInContainerSize Context triple: [Miller Lite, availableInContainerSize, 12 oz can]
-
A.
availableInSize
chosen
Indicates that something is offered or can be obtained in a particular size.
-
B.
desiredSizeIndicates
Indicates that one entity specifies or reflects the preferred or intended size of another entity.
-
C.
includesSizeRange
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
-
D.
hasRegulationSize
Indicates that something conforms to an officially defined or standard size specified by rules or regulations.
-
E.
sizeStatus
Indicates the relative size condition or classification of one entity in relation to another or to a defined standard.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c000b88190bfaa646b2dc424b7 |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.