Triple
T18564693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Base64 |
E453732
|
entity |
| Predicate | groupingRule |
P132536
|
FINISHED |
| Object | encodes 3 bytes into 4 characters |
—
|
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: encodes 3 bytes into 4 characters | Statement: [Base64, groupingRule, encodes 3 bytes into 4 characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groupingRule Context triple: [Base64, groupingRule, encodes 3 bytes into 4 characters]
-
A.
groupingType
Indicates how multiple entities are categorized or clustered together based on a shared grouping criterion.
-
B.
movementGrouping
Indicates that multiple movements or motion events are treated as a single grouped or coordinated unit within a larger action or process.
-
C.
groupedInto
Indicates that multiple entities are collected or organized together as members of a common group or category.
-
D.
compositionRule
Indicates how multiple elements or components are combined or arranged according to a specific rule or pattern.
-
E.
areSometimesGroupedWith
Indicates that two or more entities are occasionally but not consistently classified, treated, or considered together as part of the same group.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afd8114819093b57d86f8213311 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:42 a.m.