Triple
T31083835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPC-E |
E792173
|
entity |
| Predicate | dataCompressionMethod |
P27672
|
FINISHED |
| Object | suppression of redundant zeros from UPC-A |
—
|
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: suppression of redundant zeros from UPC-A | Statement: [UPC-E, dataCompressionMethod, suppression of redundant zeros from UPC-A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataCompressionMethod Context triple: [UPC-E, dataCompressionMethod, suppression of redundant zeros from UPC-A]
-
A.
compressionType
chosen
Indicates the method or format used to compress data or content in the relationship.
-
B.
compressionMode
Indicates the specific method or setting used to compress data or content in a given context.
-
C.
compressionLoss
Indicates that some amount of information, quality, or fidelity is lost as a result of a compression process.
-
D.
compressionFunctionType
Indicates the specific kind or category of compression function applied in a compression process or algorithm.
-
E.
dataEncodingMethod
Indicates the specific technique or format used to encode data for storage, transmission, or processing.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695fb5f60819099ac1f20472cfc61 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9:02 p.m.