Triple
T5037149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 永野修身 |
E113452
|
entity |
| Predicate | 軍服役期間 |
P46479
|
FINISHED |
| Object | 日露戦争期から第二次世界大戦期にかけて活動した |
—
|
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: 日露戦争期から第二次世界大戦期にかけて活動した | Statement: [永野修身, 軍服役期間, 日露戦争期から第二次世界大戦期にかけて活動した]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 軍服役期間 Context triple: [永野修身, 軍服役期間, 日露戦争期から第二次世界大戦期にかけて活動した]
-
A.
militaryServicePeriod
chosen
Indicates the span of time during which an entity serves or has served in a military capacity.
-
B.
yearsOfMilitaryService
Indicates the number of years an entity has served or is recorded as serving in the military.
-
C.
placeOfMilitaryService
Indicates the location or institution where a person performed their military service.
-
D.
hasMilitaryServiceStart
Indicates the date or point in time when an entity’s period of military service began.
-
E.
militaryBackground
Indicates that an entity has prior or current experience, service, or training in a military 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73bb069c8190af86f1b2f95f3d95 |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.