Triple
T26409260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SubBytes |
E663913
|
entity |
| Predicate | isTableBasedIn |
P56835
|
FINISHED |
| Object | most software implementations |
—
|
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: most software implementations | Statement: [SubBytes, isTableBasedIn, most software implementations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTableBasedIn Context triple: [SubBytes, isTableBasedIn, most software implementations]
-
A.
isTabulatedBy
chosen
Indicates that data, values, or information are organized, arranged, or recorded in a table by a specified agent or process.
-
B.
isTemplateBased
Indicates that one entity is derived from, structured according to, or instantiated using another entity as a template.
-
C.
isBasedOn
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
D.
isBasedOnDialect
Indicates that something (such as a language variety, system, or representation) is derived from, structured around, or primarily influenced by a particular dialect.
-
E.
isFeatureBased
Indicates that one entity is derived from, determined by, or constructed using the characteristics or attributes of 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61130742c819090e8a55ea2f25145 |
completed | May 2, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:37 p.m.