Triple
T20095966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daechi-dong |
E496399
|
entity |
| Predicate | educationCulture |
P106481
|
FINISHED |
| Object | emphasis on private tutoring |
—
|
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: emphasis on private tutoring | Statement: [Daechi-dong, educationCulture, emphasis on private tutoring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationCulture Context triple: [Daechi-dong, educationCulture, emphasis on private tutoring]
-
A.
educationAndCulture
chosen
Indicates a relationship where activities, policies, or influences connect educational processes with cultural development, preservation, or expression.
-
B.
cultType
Indicates the specific kind or category of cult associated with an entity, such as its religious, ideological, or functional type.
-
C.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
D.
освіта
Indicates that one entity provides, has, or is associated with the education or educational background of another entity.
-
E.
coEducation
Indicates that an educational institution or program provides instruction to students of different genders together rather than separately.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666cc02481908780a415b19c05a2 |
completed | April 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:25 p.m.