Triple
T37145356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Republican Movement for Democracy and Development |
E920226
|
entity |
| Predicate | targetOfViolence |
P51875
|
FINISHED |
| Object | Tutsi |
—
|
NE NERFINISHED |
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: Tutsi | Statement: [National Republican Movement for Democracy and Development, targetOfViolence, Tutsi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOfViolence Context triple: [National Republican Movement for Democracy and Development, targetOfViolence, Tutsi]
-
A.
typeOfViolenceAddressed
Indicates the specific form or category of violence that is being targeted, dealt with, or addressed in a given context.
-
B.
causeOfViolence
Indicates that one entity is the reason, trigger, or source leading to the occurrence of violence involving another entity.
-
C.
positionOnViolence
Indicates a stance, attitude, or policy that an entity holds regarding the use, justification, or acceptability of violence.
-
D.
targetOfCrime
chosen
Indicates that the subject is the person, organization, or entity against whom the referenced crime is committed.
-
E.
targetOfBullying
Indicates that one entity is the victim or recipient of bullying behavior carried out by another entity.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff255b84788190a94682f4efe1d0b8 |
completed | May 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69ff24f3ab108190bb017a656cff3d82 |
completed | May 9, 2026, 12:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.