Triple
T2469050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiev Special Military District |
E55324
|
entity |
| Predicate | controlledForcesType |
P1062
|
FINISHED |
| Object | ground forces |
—
|
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: ground forces | Statement: [Kiev Special Military District, controlledForcesType, ground forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlledForcesType Context triple: [Kiev Special Military District, controlledForcesType, ground forces]
-
A.
controlled
Indicates that one entity has power, authority, or influence to direct, regulate, or determine the behavior, actions, or state of another entity.
-
B.
forceType
chosen
Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
-
C.
controlFrom
Indicates that one entity exercises authority, influence, or regulatory power over another entity or process.
-
D.
drivingForce
Indicates a causal influence or motivating factor that propels or significantly shapes another process, event, or outcome.
-
E.
exportControl
Indicates that an entity is subject to rules or restrictions governing the transfer or export of goods, services, or information across borders.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.