Triple
T9532566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VT100 |
E229930
|
entity |
| Predicate | usesCharacterSet |
P7661
|
FINISHED |
| Object | 7-bit ASCII |
E23922
|
NE 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: 7-bit ASCII | Statement: [VT100, usesCharacterSet, 7-bit ASCII]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 7-bit ASCII Context triple: [VT100, usesCharacterSet, 7-bit ASCII]
-
A.
ASCII
chosen
ASCII is a widely used character encoding standard that represents text in computers and other devices using 7-bit numerical codes for letters, digits, punctuation, and control characters.
-
B.
ISO 646
ISO 646 is an international standard for 7-bit character encodings that defines a set of basic Latin characters and allows national variants, serving as a foundation for many early computer character sets.
-
C.
UTF-7
UTF-7 is an obsolete, 7-bit Unicode text encoding designed primarily for safe transmission of Unicode data over email systems that were not fully 8-bit clean.
-
D.
ISO/IEC 2022
ISO/IEC 2022 is an international standard that defines mechanisms for encoding and switching between multiple character sets within a single byte-oriented data stream.
-
E.
ASCI
ASCI is a prestigious U.S. honor society of physician-scientists dedicated to advancing clinical and translational research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b5651881908241b040f123c6a8 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c4033c08190a71535b63d86f4df |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8 p.m.