Triple
T13598328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narkomvoenmor RSFSR |
E324879
|
entity |
| Predicate | usedNameLanguage |
P15
|
FINISHED |
| Object | Russian |
—
|
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: Russian | Statement: [Narkomvoenmor RSFSR, usedNameLanguage, Russian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedNameLanguage Context triple: [Narkomvoenmor RSFSR, usedNameLanguage, Russian]
-
A.
usedNameOfCountry
Indicates that one entity referred to or employed a particular name or designation for a country.
-
B.
alternateLanguageName
Indicates that an entity has an additional name or label in a different language from its primary or default name.
-
C.
languageOfWorkOrName
chosen
Indicates the language in which a work is created or a name is expressed.
-
D.
originalNameLanguage
Indicates that the specified language is the language in which an entity’s original or primary name was expressed.
-
E.
usesNameForm
Indicates that one entity adopts or applies a particular standardized form or variant of a name associated with another 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.