Triple
T22580781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 学習院大学政経学部 |
E544559
|
entity |
| Predicate | 進路傾向 |
P143950
|
FINISHED |
| Object | 中央官庁への就職者が多いとされる |
—
|
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: 中央官庁への就職者が多いとされる | Statement: [学習院大学政経学部, 進路傾向, 中央官庁への就職者が多いとされる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 進路傾向 Context triple: [学習院大学政経学部, 進路傾向, 中央官庁への就職者が多いとされる]
-
A.
主な進路
chosen
Indicates the primary path, course, or direction typically taken or chosen in a given context.
-
B.
subjectChoice
Indicates that an entity makes, has, or is associated with a particular choice or selection among alternatives.
-
C.
attitudeTowardEducation
Indicates an entity’s feelings, beliefs, or stance regarding education or educational practices.
-
D.
성격
Indicates a relationship where one entity’s character, temperament, or personality traits are attributed to or associated with that entity.
-
E.
性格
Indicates a relationship where one entity’s personality, character, or temperament is being described, attributed, or characterized in relation to that entity.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15ff065308190bca9fb24b47757e6 |
completed | April 29, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:53 p.m.