Triple
T2786888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YAKT |
E61830
|
entity |
| Predicate | usedInPartOfCountry |
P908
|
FINISHED |
| Object | eastern Russia |
—
|
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: eastern Russia | Statement: [YAKT, usedInPartOfCountry, eastern Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInPartOfCountry Context triple: [YAKT, usedInPartOfCountry, eastern Russia]
-
A.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
-
B.
usedInCountries
Indicates that something is utilized or applied within one or more specified countries.
-
C.
usedInRegion
chosen
Indicates that something is utilized or applied within a specific geographic or administrative region.
-
D.
alsoInCountry
Indicates that something located in one country is additionally located or present in another specified country.
-
E.
usedInPartOf
Indicates that something is utilized or plays a functional role within a specific component or subpart of a larger whole.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd025c948190a97dd961a9592bac |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.