Triple
T1079791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basic Multilingual Plane |
E23919
|
entity |
| Predicate | encodingNote |
P5301
|
FINISHED |
| Object | characters can be encoded in UTF-16 without surrogate pairs |
—
|
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: characters can be encoded in UTF-16 without surrogate pairs | Statement: [Basic Multilingual Plane, encodingNote, characters can be encoded in UTF-16 without surrogate pairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encodingNote Context triple: [Basic Multilingual Plane, encodingNote, characters can be encoded in UTF-16 without surrogate pairs]
-
A.
encodedIn
Indicates that one entity is represented, stored, or expressed within another entity using a specific encoding or format.
-
B.
notedIn
chosen
Indicates that information about one entity is mentioned, recorded, or referenced within another entity, such as a document, record, or source.
-
C.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
-
D.
encodes
Indicates that one entity contains or represents the information, instructions, or structure of another in a coded or symbolic form.
-
E.
editorialNote
Indicates that there is an accompanying editorial comment or clarification about the related content, typically added by an editor rather than the original author.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b94509d08190964509ea4a2d7912 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73d9f08819093668104f129840e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.