Triple
T17152101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 牛島満 |
E416245
|
entity |
| Predicate | 軍学校 |
P57838
|
FINISHED |
| Object | 陸軍士官学校 |
—
|
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: 陸軍士官学校 | Statement: [牛島満, 軍学校, 陸軍士官学校]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 軍学校 Context triple: [牛島満, 軍学校, 陸軍士官学校]
-
A.
isMilitarySchool
chosen
Indicates that an educational institution functions as a military school, operating under military principles, structure, or training programs.
-
B.
containsMilitaryAcademy
Indicates that one entity includes or hosts a military academy within its boundaries or domain.
-
C.
institutionOfDefense
Indicates that an entity functions as an organization responsible for defense or military protection within a given jurisdiction or context.
-
D.
militarySystem
Indicates a relationship where an entity functions as, belongs to, or is characterized by a particular military organizational or operational system.
-
E.
countryMilitary
Indicates that a country possesses, controls, or is associated with a particular military force or armed organization.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40861e08190bad1a3ec87691132 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.