Triple
T32335396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Severity Order |
E826156
|
entity |
| Predicate | consequences |
P812
|
FINISHED |
| Object | facilitation of atrocities against civilians |
—
|
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: facilitation of atrocities against civilians | Statement: [Severity Order, consequences, facilitation of atrocities against civilians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequences Context triple: [Severity Order, consequences, facilitation of atrocities against civilians]
-
A.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
B.
consequenceInText
Indicates that one event, action, or state is presented in the text as a consequence or result of another.
-
C.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
D.
exploresConsequencesOf
Indicates that one entity investigates, analyzes, or examines the outcomes, implications, or effects resulting from another entity or event.
-
E.
consequenceOfPolicies
Indicates the outcomes or effects that result from the implementation or existence of specific policies.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: May 1, 2026, 12:48 a.m.