Triple
T9893623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 国務大臣 |
E181514
|
entity |
| Predicate | mustBeCivilian |
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: [国務大臣, mustBeCivilian, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustBeCivilian Context triple: [国務大臣, mustBeCivilian, true]
-
A.
isCivilian
Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
-
B.
hasCivilianClass
Indicates that an entity is associated with or belongs to a particular civilian classification or category.
-
C.
civilianEligibility
Indicates that an entity meets the criteria or conditions required to be classified or treated as a civilian in a given context.
-
D.
allowsCivilianService
Indicates that an authority permits individuals to perform an alternative form of civilian service instead of regular military service.
-
E.
isCivilianOffice
chosen
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb48271d48190b718c7f6b2fe315b |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.