Triple
T22475709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Security Council Resolution 1960 |
E555623
|
entity |
| Predicate | typeOfViolenceAddressed |
P148347
|
FINISHED |
| Object | rape in armed conflict |
—
|
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: rape in armed conflict | Statement: [United Nations Security Council Resolution 1960, typeOfViolenceAddressed, rape in armed conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfViolenceAddressed Context triple: [United Nations Security Council Resolution 1960, typeOfViolenceAddressed, rape in armed conflict]
-
A.
hasTypeOfViolence
Indicates that an entity involves, exhibits, or is characterized by a specific kind or category of violent behavior or action.
-
B.
typeOfVictimization
Indicates the specific kind or category of harmful act, abuse, or exploitation experienced by a victim.
-
C.
usedViolenceAgainst
Indicates that one entity intentionally inflicted physical force or harm upon another entity.
-
D.
positionOnViolence
Indicates a stance, attitude, or policy that an entity holds regarding the use, justification, or acceptability of violence.
-
E.
typeOfAbuse
Indicates the specific kind or category of abusive behavior that one entity inflicts on another.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be3930c8190ba967196df7e083f |
completed | April 29, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:49 p.m.