Triple
T35847344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Courts of Thailand |
E1036248
|
entity |
| Predicate | canTryCiviliansUnder |
P183885
|
FINISHED |
| Object | martial law conditions |
—
|
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: martial law conditions | Statement: [Military Courts of Thailand, canTryCiviliansUnder, martial law conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canTryCiviliansUnder Context triple: [Military Courts of Thailand, canTryCiviliansUnder, martial law conditions]
-
A.
allowsCivilianService
Indicates that an authority permits individuals to perform an alternative form of civilian service instead of regular military service.
-
B.
isCivilian
Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
-
C.
isCivilianBased
Indicates that something is primarily oriented toward, derived from, or operating within a civilian (non-military) context.
-
D.
civilianEligibility
Indicates that an entity meets the criteria or conditions required to be classified or treated as a civilian in a given context.
-
E.
civilianTarget
Indicates that the action or operation is directed at, affects, or designates civilians or civilian objects as the target.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.