Triple
T24133752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | АН СССР |
E598024
|
entity |
| Predicate | курируемаяОбласть |
P58897
|
FINISHED |
| Object | естественные науки |
—
|
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: естественные науки | Statement: [АН СССР, курируемаяОбласть, естественные науки]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: курируемаяОбласть Context triple: [АН СССР, курируемаяОбласть, естественные науки]
-
A.
occupiedRegion
Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
-
B.
regulatedArea
Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
-
C.
coreAreaOf
chosen
Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
-
D.
subArea
Indicates that one area is a constituent or contained part of a larger area.
-
E.
reportingArea
Indicates that one entity serves as the geographic or organizational area for which information, data, or events about another entity are reported or aggregated.
- 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df79bfd08190970ed1b3f14ebc8b |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:26 p.m.