Triple
T30360087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Sergeyevna |
E772257
|
entity |
| Predicate | basedInWorkPublicationCountry |
P59831
|
FINISHED |
| Object | Soviet Union |
—
|
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: Soviet Union | Statement: [Anna Sergeyevna, basedInWorkPublicationCountry, Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInWorkPublicationCountry Context triple: [Anna Sergeyevna, basedInWorkPublicationCountry, Soviet Union]
-
A.
publisherCountryOfWork
chosen
Indicates the country where the publisher of a given work is based or operates.
-
B.
worksInCountry
Indicates that an entity performs its work or professional activities within the specified country.
-
C.
basedOnWorkCountryOfOrigin
Indicates that something is determined or derived from the country of origin of a work.
-
D.
countryOfPublication
Indicates the country in which a work was formally published or made publicly available.
-
E.
countryOfResearch
Indicates the country where the research activity was primarily conducted or based.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: April 29, 2026, 7:57 p.m.