Triple
T22585015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicode normalization |
E564765
|
entity |
| Predicate | NFKC |
P148827
|
FINISHED |
| Object | compatibility composition form |
—
|
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: compatibility composition form | Statement: [Unicode normalization, NFKC, compatibility composition form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NFKC Context triple: [Unicode normalization, NFKC, compatibility composition form]
-
A.
usesKatakanaFor
Indicates that one entity is written or represented using katakana script in relation to another entity.
-
B.
commonTransliterationSystem
Indicates that two or more written forms are derived using the same standardized system for converting text from one script to another.
-
C.
standardTransliteration
Indicates that one representation of text is a transliteration of another according to a recognized standard or convention.
-
D.
romanizationStandardReplacedBy
Indicates that one system or convention for romanization has been superseded and replaced by another romanization standard.
-
E.
diacriticStrippedForm
Indicates that one textual form is derived from another by removing all diacritic marks (such as accents or umlauts) from its characters.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 2:45 p.m.