Triple
T24818263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Герой России |
E620984
|
entity |
| Predicate | синоним |
P3575
|
FINISHED |
| Object | Герой Российской Федерации |
—
|
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: Герой Российской Федерации | Statement: [Герой России, синоним, Герой Российской Федерации]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: синоним Context triple: [Герой России, синоним, Герой Российской Федерации]
-
A.
synonym
chosen
Indicates that two terms have the same or nearly the same meaning in a given context.
-
B.
heteronymOf
Indicates that two words share the same spelling but differ in pronunciation and meaning.
-
C.
heteronym
Indicates that two or more words share the same spelling but differ in pronunciation and meaning.
-
D.
cognate
Indicates that two linguistic forms share a common historical origin, typically deriving from the same ancestral word.
-
E.
resembles
Indicates that one entity is similar in appearance, form, or characteristics to another.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:03 a.m.