Triple
T5677929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Public Safety Commission of Japan |
E125130
|
entity |
| Predicate | isCivilianBody |
P4480
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [National Public Safety Commission of Japan, isCivilianBody, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivilianBody Context triple: [National Public Safety Commission of Japan, isCivilianBody, true]
-
A.
isCivilian
Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
-
B.
isCivilianOffice
chosen
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
-
C.
hasCivilianClass
Indicates that an entity is associated with or belongs to a particular civilian classification or category.
-
D.
isCivilFlag
Indicates that the flag is used for civil purposes, typically by private citizens or non-military, non-governmental entities.
-
E.
isCivilianHonourGrade
Indicates that one entity is classified as a specific grade or level within a system of civilian honours or awards in relation to another 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.