Triple
T30510668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Пур |
E776408
|
entity |
| Predicate | странаСубъект |
P43055
|
FINISHED |
| Object | Ямало-Ненецкий автономный округ |
—
|
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: Ямало-Ненецкий автономный округ | Statement: [Пур, странаСубъект, Ямало-Ненецкий автономный округ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: странаСубъект Context triple: [Пур, странаСубъект, Ямало-Ненецкий автономный округ]
-
A.
странаСоздания
Indicates the country in which an entity (such as a work, product, or organization) was originally created or produced.
-
B.
странаДействия
Indicates a relationship where an action or event is associated with, or takes place in, a particular country.
-
C.
país
Indicates that an entity is a country (a sovereign state or nation) in relation to something else.
-
D.
находитсяВСтране
Indicates that something is located within the territory or borders of a specific country.
-
E.
countrySubject
chosen
Indicates that the subject entity is a country that is the main actor, topic, or focus in the described relation or statement.
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687b8c6448190a0f724dbaefcf023 |
completed | May 2, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:16 p.m.