Triple
T7528580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kosychi, Kiev Governorate, Russian Empire |
E177957
|
entity |
| Predicate | hasLanguageInhabitants |
P77346
|
FINISHED |
| Object | Ukrainian |
—
|
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: Ukrainian | Statement: [Kosychi, Kiev Governorate, Russian Empire, hasLanguageInhabitants, Ukrainian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageInhabitants Context triple: [Kosychi, Kiev Governorate, Russian Empire, hasLanguageInhabitants, Ukrainian]
-
A.
hasNativeSpeakers
Indicates that a language or dialect is spoken as a first language by one or more people or populations.
-
B.
hasApproximateNativeSpeakers
Indicates that an entity is associated with an estimated or approximate number of people who speak it as their native language.
-
C.
hasRepresentativeLanguage
Indicates that an entity is associated with a language that serves as its primary or officially recognized means of representation or communication.
-
D.
hasLanguageOfSurroundingCountries
Indicates that an entity uses or includes the languages commonly spoken in the countries that geographically surround it.
-
E.
isWidelySpokenIn
Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
- F. None of above. chosen
Provenance (4 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81e19208190965f211d057f7fdf |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f555455c81908850210bcad96ac2 |
completed | March 27, 2026, 9:23 p.m. |
Created at: March 27, 2026, 3:47 p.m.