Triple
T12211413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarov |
E290967
|
entity |
| Predicate | establishedAsClosedCity |
P102827
|
FINISHED |
| Object | mid-1940s |
—
|
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: mid-1940s | Statement: [Sarov, establishedAsClosedCity, mid-1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsClosedCity Context triple: [Sarov, establishedAsClosedCity, mid-1940s]
-
A.
hasClosedCity
Indicates that a country or region contains a city that is restricted or closed to general public access.
-
B.
isClosedAdministrativeTerritorialFormation
chosen
Indicates that an administrative territorial unit is designated as closed or restricted, typically limiting access, governance, or information about it.
-
C.
closingShowCity
Indicates the city where a show or event has its final or closing performance.
-
D.
cityStatusGrantedIn
Indicates the event or point in time at which an entity was officially granted city status in a particular place or jurisdiction.
-
E.
cityStatusGrantedInMemoryOf
Indicates that city status was conferred on a place specifically to honor or commemorate a particular person, event, or entity.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.