Triple
T23746143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spartak Ordzhonikidze |
E586818
|
entity |
| Predicate | hasHomeCountryHistorical |
P36882
|
FINISHED |
| Object | Russian SFSR |
—
|
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: Russian SFSR | Statement: [Spartak Ordzhonikidze, hasHomeCountryHistorical, Russian SFSR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeCountryHistorical Context triple: [Spartak Ordzhonikidze, hasHomeCountryHistorical, Russian SFSR]
-
A.
hasFormerCountry
chosen
Indicates that an entity was previously part of, or belonged to, a country that no longer exists in its former political form.
-
B.
historicallyAssociatedWithModernCountry
Indicates that an entity has a significant historical connection, influence, or origin related to a specified modern country.
-
C.
hasHistoricalOrigin
Indicates that something originated, was first established, or came into existence during a specific historical period or context.
-
D.
countryOfHistoricRole
Indicates the country in which an entity held a significant historical role or carried out historically notable activities.
-
E.
historicalOriginCountry
Indicates the country from which something originally came or first emerged in a historical context.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbded748190b305fc39ed71fa3f |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:12 p.m.