Triple
T34976002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krakozhia |
E1008677
|
entity |
| Predicate | citizensDemonym |
P49650
|
FINISHED |
| Object | Krakozhian |
—
|
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: Krakozhian | Statement: [Krakozhia, citizensDemonym, Krakozhian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizensDemonym Context triple: [Krakozhia, citizensDemonym, Krakozhian]
-
A.
populationDemonym
Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
-
B.
denotesCitizensOf
Indicates that a subject entity specifies or lists the people or groups who hold citizenship of a particular place or political entity.
-
C.
relatedDemonym
chosen
Indicates that one entity is the demonym (name for residents or natives) associated with the other entity.
-
D.
languageInhabitants
Indicates that a particular language is spoken or used by the inhabitants of a specified place or region.
-
E.
populationDataSource
Indicates the source or origin from which population data has been obtained or derived.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.