Triple
T30436198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дом Советов РСФСР |
E774317
|
entity |
| Predicate | расположенВСтране |
P126786
|
FINISHED |
| Object | Россия |
—
|
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: Россия | Statement: [Дом Советов РСФСР, расположенВСтране, Россия]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: расположенВСтране Context triple: [Дом Советов РСФСР, расположенВСтране, Россия]
-
A.
находитсяВСтране
chosen
Indicates that something is located within the territory or borders of a specific country.
-
B.
housedInCountry
Indicates that an entity is located, based, or situated within the boundaries of a specified country.
-
C.
discoveredInCountry
Indicates that something was discovered within the geographical boundaries or jurisdiction of a specified country.
-
D.
hasPartInCountry
Indicates that an entity has a component, section, or portion that is located within a specified country.
-
E.
locatedNearCountry
Indicates that one entity is geographically situated close to the borders or territory of a specified country.
- 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:07 p.m.