Triple
T21584580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kremlin commandant’s service |
E532614
|
entity |
| Predicate | hasAreaOfOperations |
P52790
|
FINISHED |
| Object | territory of the Moscow Kremlin |
—
|
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: territory of the Moscow Kremlin | Statement: [Kremlin commandant’s service, hasAreaOfOperations, territory of the Moscow Kremlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAreaOfOperations Context triple: [Kremlin commandant’s service, hasAreaOfOperations, territory of the Moscow Kremlin]
-
A.
fieldOfOperation
Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
-
B.
hasLandOperations
Indicates that an entity conducts or is responsible for activities, services, or operations carried out on land.
-
C.
coordinatesMilitaryOperationsOf
Indicates having authority to plan, direct, and manage the military operations carried out by another entity.
-
D.
hasBaseOfOperations
Indicates that an entity uses a particular location as its primary place of operation or activity.
-
E.
notableOperationArea
chosen
Indicates the geographic area or region where an entity primarily conducts or is recognized for its significant operations or activities.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5f2cc0819095552de70eb2ad8d |
completed | April 27, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:31 p.m.