Triple
T17006739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJK Unified Ideographs |
E412588
|
entity |
| Predicate | hasCombiningClass |
P68104
|
FINISHED |
| Object | 0 for most characters |
—
|
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: 0 for most characters | Statement: [CJK Unified Ideographs, hasCombiningClass, 0 for most characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCombiningClass Context triple: [CJK Unified Ideographs, hasCombiningClass, 0 for most characters]
-
A.
hasCombiningMarks
Indicates that an entity (such as a character or string) includes one or more combining marks attached to a base element.
-
B.
hasCanonicalCombiningClassMarks
chosen
Indicates that an entity has associated marks whose Unicode canonical combining class is explicitly defined or recognized.
-
C.
hasCharacterClass
Indicates that an entity (such as a character) belongs to or is assigned a particular character class or role type.
-
D.
hasConsonantClasses
Indicates that an entity (typically a language or phonological system) possesses a defined set or system of consonant classes.
-
E.
hasUnicodeProperty
Indicates that an entity possesses a specific Unicode character property or set of properties (such as category, script, or other Unicode-defined attributes).
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d3831268819089286053a5acf653 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.