Triple
T22891470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Unicode Standard |
E568049
|
entity |
| Predicate | primaryEncodingForms |
P66343
|
FINISHED |
| Object | UTF-8 |
—
|
NE NERFINISHED |
How this triple was built (3 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: UTF-8 | Statement: [The Unicode Standard, primaryEncodingForms, UTF-8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UTF-8 Context triple: [The Unicode Standard, primaryEncodingForms, UTF-8]
-
A.
UTF-8
chosen
UTF-8 is a widely used variable-length character encoding standard for Unicode that efficiently represents text in most of the world's writing systems while maintaining backward compatibility with ASCII.
-
B.
UTF-16
UTF-16 is a variable-length character encoding for Unicode that represents most common characters in one 16-bit code unit and others, including supplementary characters, in pairs of 16-bit code units.
-
C.
Unicode
Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
-
D.
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.
-
E.
UTF-32
UTF-32 is a fixed-length Unicode character encoding that represents each code point using 32 bits, providing simple indexing at the cost of higher memory usage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEncodingForms Context triple: [The Unicode Standard, primaryEncodingForms, UTF-8]
-
A.
encodingForm
chosen
Indicates the specific format or scheme used to encode information or data in a representation or communication.
-
B.
encodedIn
Indicates that one entity is represented, stored, or expressed within another entity using a specific encoding or format.
-
C.
primaryModes
Indicates the main methods, forms, or channels through which something typically operates, is expressed, or is carried out.
-
D.
encodes
Indicates that one entity contains or represents the information, instructions, or structure of another in a coded or symbolic form.
-
E.
hasDistinctLetterForms
Indicates that the related writing system or symbol set uses different visual shapes or styles for the same letter in different contexts (such as position, case, or usage).
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc59e108190a22f90c2439830fb |
completed | April 29, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:40 p.m.