Triple
T22585010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicode normalization |
E564765
|
entity |
| Predicate | hasFullName |
P16
|
FINISHED |
| Object | Normalization Form D |
—
|
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: Normalization Form D | Statement: [Unicode normalization, hasFullName, Normalization Form D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Normalization Form D Context triple: [Unicode normalization, hasFullName, Normalization Form D]
-
A.
Unicode normalization
Unicode normalization is a set of standardized processes that convert equivalent Unicode text sequences into a consistent canonical form to ensure reliable comparison, searching, and processing of text across systems.
-
B.
Alphabetic Presentation Forms
Alphabetic Presentation Forms is a Unicode block that contains compatibility characters for various alphabetic scripts, primarily providing precomposed glyph variants used in legacy text encodings and typographic contexts.
-
C.
CNORM
CNORM is the three-letter National Olympic Committee code used to represent Moldova in the Olympic Games.
-
D.
NFD
chosen
NFD is the National Rail station code for Northfield railway station in Birmingham, England.
-
E.
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.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615c18f88190ad4f23639d15f337 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:45 p.m.