Triple
T24790243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 広陵高等学校 |
E620231
|
entity |
| Predicate | 共学別学 |
P157128
|
FINISHED |
| Object | 男女共学 |
—
|
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: 男女共学 | Statement: [広陵高等学校, 共学別学, 男女共学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 共学別学 Context triple: [広陵高等学校, 共学別学, 男女共学]
-
A.
studiedAlongWith
Indicates that two or more entities engaged in studying the same subject or course together during the same time period.
-
B.
alsoStudied
Indicates that an entity pursued additional studies in another subject, field, or institution besides a primary one.
-
C.
oftenStudiedWith
Indicates that two subjects or topics are frequently studied together, typically within the same context, course, or learning activity.
-
D.
Xiaoerjing
Indicates a relationship where something is written, represented, or transcribed using the Xiaoerjing (Arabic-based) script for Sinitic languages.
-
E.
commonlyTaughtWith
Indicates that two subjects or concepts are frequently taught together within the same course, lesson, or curriculum context.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f41102028081909cde16f6e80bc321 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:47 a.m.