Triple
T23490432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takarazuka Music School |
E570653
|
entity |
| Predicate | entranceExamIncludes |
P152579
|
FINISHED |
| Object | practical performance tests |
—
|
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: practical performance tests | Statement: [Takarazuka Music School, entranceExamIncludes, practical performance tests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entranceExamIncludes Context triple: [Takarazuka Music School, entranceExamIncludes, practical performance tests]
-
A.
entranceExam
Indicates that an entity is required to pass or participate in an entrance examination as a condition for admission or access to another entity.
-
B.
writtenExamSubjectsInclude
Indicates that the set of subjects specified is included among the subjects covered by a particular written exam.
-
C.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
D.
examPatternIncludes
Indicates that a particular exam pattern contains or encompasses a specified component, section, or element as part of its structure.
-
E.
examCategory
Indicates the classification or type of an exam within a defined set of exam categories.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7dba7388190a322ab059bb6522a |
completed | April 29, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:04 p.m.