Triple
T20566412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nguyen Vietnam |
E504975
|
entity |
| Predicate | hasEducationalIdeal |
P123397
|
FINISHED |
| Object | junzi (Confucian gentleman) |
—
|
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: junzi (Confucian gentleman) | Statement: [Nguyen Vietnam, hasEducationalIdeal, junzi (Confucian gentleman)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalIdeal Context triple: [Nguyen Vietnam, hasEducationalIdeal, junzi (Confucian gentleman)]
-
A.
educationIdeal
chosen
Indicates that something is regarded as the optimal or most desirable standard, goal, or model in the context of education.
-
B.
hasEducationalMission
Indicates that an entity is responsible for or engaged in carrying out an educational purpose, goal, or function.
-
C.
hasEducationalOrientation
Indicates that one entity is oriented toward, focused on, or characterized by a particular educational approach, philosophy, or direction in relation to another entity.
-
D.
hasEducationalDimension
Indicates that something includes, involves, or contributes to an educational aspect, purpose, or impact within the relationship or context described.
-
E.
educationGoal
Indicates a relationship where an entity has a specific educational aim, objective, or intended learning outcome it is working toward.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.