Triple
T17006740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJK Unified Ideographs |
E412588
|
entity |
| Predicate | hasBidirectionalClass |
P126177
|
FINISHED |
| Object | L |
—
|
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: L | Statement: [CJK Unified Ideographs, hasBidirectionalClass, L]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBidirectionalClass Context triple: [CJK Unified Ideographs, hasBidirectionalClass, L]
-
A.
bidirectionalClass
Indicates that a class participates in a bidirectional relationship, where each related class maintains a reference to the other.
-
B.
hasDirectionType
Indicates that something possesses or is associated with a specific type or category of direction.
-
C.
hasDirectionReference
Indicates that one entity specifies or points to a directional orientation or reference frame for another entity.
-
D.
hasTwoClasses
Indicates that an entity is associated with exactly two distinct classes or categories.
-
E.
hasDirectionVariant
Indicates that one entity is a directional variant or orientation-specific form of another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.