Triple
T927093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaisei Academy |
E20007
|
entity |
| Predicate | entranceExam |
P22453
|
FINISHED |
| Object | competitive entrance examination |
—
|
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: competitive entrance examination | Statement: [Kaisei Academy, entranceExam, competitive entrance examination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entranceExam Context triple: [Kaisei Academy, entranceExam, competitive entrance examination]
-
A.
examProvider
Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
-
B.
testTakers
Indicates that certain entities are individuals or groups who participate in taking a specific test or examination.
-
C.
passedExam
Indicates that an entity has successfully met the required criteria to pass a particular exam.
-
D.
examinationLocation
Indicates the place or setting where an examination or test is conducted.
-
E.
primaryIntake
Indicates that one entity serves as the main or first point of intake, reception, or admission for 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2970a4c8190b22cb2fd4706f62b |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b385176081909e3e8c3f647c1fd4 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.