Triple
T30758968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rublyovka |
E783174
|
entity |
| Predicate | socialImage |
P99650
|
FINISHED |
| Object | place for Russia’s rich and powerful |
—
|
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: place for Russia’s rich and powerful | Statement: [Rublyovka, socialImage, place for Russia’s rich and powerful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialImage Context triple: [Rublyovka, socialImage, place for Russia’s rich and powerful]
-
A.
socialMedia
Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms with another entity.
-
B.
socialView
Indicates a relationship where one entity views, accesses, or inspects another entity’s social-related information, profile, or activity.
-
C.
associatedWithSocialImage
chosen
Indicates a relationship where something is linked or connected to a particular social image, reputation, or public perception.
-
D.
mediaProfile
Indicates a relationship where a media-related profile or account is associated with an entity, typically representing its presence or identity in media contexts.
-
E.
publicImage
Indicates how an entity is perceived or represented by the general public or broader audience.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 29, 2026, 8:39 p.m.