Triple
T32683301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decembrists’ Square |
E835645
|
entity |
| Predicate | politicalEventType |
P16721
|
FINISHED |
| Object | site of attempted military coup |
—
|
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: site of attempted military coup | Statement: [Decembrists’ Square, politicalEventType, site of attempted military coup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalEventType Context triple: [Decembrists’ Square, politicalEventType, site of attempted military coup]
-
A.
politicalEvent
chosen
Indicates an occurrence related to political processes, activities, or changes involving governance, power, or public policy.
-
B.
typeOfElectoralEvent
Indicates the specific kind or category of an electoral event that a given event instance belongs to.
-
C.
politicalAct
Indicates that an entity performs, participates in, or is involved with an action related to politics, governance, or public policy.
-
D.
politicalCategory
Indicates the political classification or ideological grouping that an entity belongs to or is associated with.
-
E.
politicalActivityStart
Indicates the point in time when an entity begins engaging in a specified political activity or role.
- 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: May 1, 2026, 1:09 a.m.