Triple
T2787945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek Gendarmerie |
E61855
|
entity |
| Predicate | roleInCivilUnrest |
P6060
|
FINISHED |
| Object | used to suppress demonstrations and uprisings |
—
|
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: used to suppress demonstrations and uprisings | Statement: [Greek Gendarmerie, roleInCivilUnrest, used to suppress demonstrations and uprisings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCivilUnrest Context triple: [Greek Gendarmerie, roleInCivilUnrest, used to suppress demonstrations and uprisings]
-
A.
teamDuringProtest
Indicates that two or more entities are part of the same team or organized group specifically in the context of a protest event.
-
B.
areaOfActivism
Indicates the specific social, political, or environmental cause or issue that an entity actively advocates for or works to change.
-
C.
conflictRole
chosen
Indicates that an entity plays a specific role or position within a conflict or dispute between parties.
-
D.
roleInCommunity
Indicates the function, position, or set of responsibilities an entity holds within a particular community or group.
-
E.
roleInRepublic
Indicates that an entity holds or plays a specific role or function within a republic or republican system.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd025c948190a97dd961a9592bac |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.