Triple
T27581745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM code page 437 |
E699601
|
entity |
| Predicate | asciiCompatibility |
P66628
|
FINISHED |
| Object | First 128 code points identical to ASCII |
—
|
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: First 128 code points identical to ASCII | Statement: [IBM code page 437, asciiCompatibility, First 128 code points identical to ASCII]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asciiCompatibility Context triple: [IBM code page 437, asciiCompatibility, First 128 code points identical to ASCII]
-
A.
ISOBasicLatinOverlap
chosen
Indicates that two character sets or encodings share overlapping code points within the ISO Basic Latin (ASCII) range.
-
B.
encodingIndependence
Indicates that a relationship or property holds regardless of the specific encoding or representation used for the involved entities.
-
C.
ISOBasicLatinDerivative
Indicates that one entity is a derivative or variant form of another entity within the ISO Basic Latin character set.
-
D.
asciType
Indicates that one entity has a specific ASCII character type or classification in relation to another entity.
-
E.
UnicodeStandardVersionIntroduced
Indicates the specific version of the Unicode Standard in which a given character, feature, or property was first introduced.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63016cc1481908862c906df769a43 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:03 p.m.