Triple
T12916934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsiolkovskiy |
E309009
|
entity |
| Predicate | eponymCitizenship |
P35759
|
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: [Tsiolkovskiy, eponymCitizenship, Russian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eponymCitizenship Context triple: [Tsiolkovskiy, eponymCitizenship, Russian]
-
A.
hasEponymCitizenship
chosen
Indicates that an entity’s eponym (the person or figure it is named after) holds or held a particular citizenship or national affiliation.
-
B.
eponymCountry
Indicates that a country is named after (or serves as the namesake for) a particular person, place, or entity.
-
C.
eponymFor
Indicates that one entity gives its name to another entity, which is then named after it.
-
D.
ethnicEponymOf
Indicates that one term is an eponym derived from or naming an ethnic group or people.
-
E.
eponymLanguage
Indicates that a language is named after (is the eponym of) a particular person, place, or 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.