Triple
T31071238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novo-Ogaryovo presidential residence |
E791822
|
entity |
| Predicate | servedAsPrimaryResidenceFor |
P192068
|
FINISHED |
| Object | Vladimir Putin |
—
|
NE NERFINISHED |
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: Vladimir Putin | Statement: [Novo-Ogaryovo presidential residence, servedAsPrimaryResidenceFor, Vladimir Putin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsPrimaryResidenceFor Context triple: [Novo-Ogaryovo presidential residence, servedAsPrimaryResidenceFor, Vladimir Putin]
-
A.
usedAtResidence
Indicates that an object, resource, or service is utilized within or for the purposes of a particular residence.
-
B.
formerResidenceOf
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
C.
hasSignificantResidence
chosen
Indicates that an entity maintains an important or primary place of residence at a specified location.
-
D.
namedAfterResidenceOf
Indicates that one entity is named after the place where another entity lives or has lived.
-
E.
usedAsOfficialResidenceSince
Indicates that an entity has served as the formally designated official residence of another entity starting from a specified point in time.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69feafa1ba0081909013800b85a9f613 |
completed | May 9, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69feae58d62c81909d031f3df8992883 |
completed | May 9, 2026, 3:47 a.m. |
Created at: April 29, 2026, 9:01 p.m.