Triple
T10184766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Terror (Ethiopia) |
E236878
|
entity |
| Predicate | governmentTypeOfPerpetrator |
P92580
|
FINISHED |
| Object | military junta |
—
|
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: military junta | Statement: [Red Terror (Ethiopia), governmentTypeOfPerpetrator, military junta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTypeOfPerpetrator Context triple: [Red Terror (Ethiopia), governmentTypeOfPerpetrator, military junta]
-
A.
perpetratorNationality
Indicates the country or nationality to which a perpetrator of an act, crime, or harmful event belongs.
-
B.
perpetratorAllegiance
Indicates that the perpetrator is affiliated with, loyal to, or acting on behalf of a particular group, organization, or cause.
-
C.
religionOfPerpetrators
Indicates the religious affiliation or belief system associated with the individuals who carried out a particular act or offense.
-
D.
perpetratedBy
Indicates that an action, event, or wrongdoing was carried out or caused by a particular agent or entity.
-
E.
ideologyOfPerpetrators
Indicates the shared ideological beliefs or motivations held by the individuals or groups who carried out the act or offense.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded3566f881909e0d1366f501d554 |
completed | April 2, 2026, 4:14 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:12 p.m.