Triple
T9554361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prosecutor v. Jean Kambanda |
E230503
|
entity |
| Predicate | defendantPositionAtTimeOfCrimes |
P39726
|
FINISHED |
| Object | Prime Minister of the Interim Government of Rwanda |
—
|
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: Prime Minister of the Interim Government of Rwanda | Statement: [Prosecutor v. Jean Kambanda, defendantPositionAtTimeOfCrimes, Prime Minister of the Interim Government of Rwanda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defendantPositionAtTimeOfCrimes Context triple: [Prosecutor v. Jean Kambanda, defendantPositionAtTimeOfCrimes, Prime Minister of the Interim Government of Rwanda]
-
A.
positionOnCrime
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
-
B.
defendantOccupationAtTime
chosen
Indicates that a defendant held a particular occupation or job role during a specified time period.
-
C.
defendantPosition
Indicates the role, stance, or location that a defendant holds within a legal case or proceeding.
-
D.
defendantLocation
Indicates the place or jurisdiction where the defendant is located or resides in relation to a legal matter.
-
E.
arrestedAt
Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd992412148190b092bd9918764d5f |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:03 p.m.