Triple
T21494700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicode Standard versions |
E530320
|
entity |
| Predicate | documentedIn |
P309
|
FINISHED |
| Object | The Unicode Standard core specification |
—
|
NE NERFINISHED |
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: The Unicode Standard core specification | Statement: [Unicode Standard versions, documentedIn, The Unicode Standard core specification]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Unicode Standard core specification Context triple: [Unicode Standard versions, documentedIn, The Unicode Standard core specification]
-
A.
The Unicode Standard
The Unicode Standard is a universal character encoding system that assigns unique code points to text and symbols from virtually all writing systems, enabling consistent digital representation and interchange of written language worldwide.
-
B.
Unicode Core Specification
chosen
The Unicode Core Specification is the primary technical standard that defines the Unicode character set, its encoding model, and the fundamental rules for representing and processing text in modern computing systems.
-
C.
Unicode Technical Standard #10
Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
-
D.
Unicode pre-1.0 draft specifications
Unicode pre-1.0 draft specifications were early, provisional versions of the Unicode character encoding standard that defined its initial design and repertoire before the formal release of Unicode 1.0.
-
E.
Unicode Technical Standard #35
Unicode Technical Standard #35 is a Unicode Consortium specification that defines the Locale Data Markup Language (LDML) and related mechanisms for internationalization, including formatting of dates, times, numbers, and other locale-sensitive data.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea575f2c81909cc0607c4b529f8d |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:23 p.m.