Triple
T11788193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arajs Kommando |
E280323
|
entity |
| Predicate | languageOfMembers |
P101585
|
FINISHED |
| Object | Latvian |
—
|
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: Latvian | Statement: [Arajs Kommando, languageOfMembers, Latvian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMembers Context triple: [Arajs Kommando, languageOfMembers, Latvian]
-
A.
hasMemberLanguage
Indicates that one entity is a language that is a constituent or member of a larger language group, family, or collection represented by the other entity.
-
B.
languageGroupSpoken
Indicates that a particular language group is spoken or used for communication by an entity.
-
C.
languageOfFamily
Indicates the language or languages commonly used or associated with a particular family.
-
D.
languageOfFounders
Indicates the language or languages spoken or used by the founders of an entity.
-
E.
macrolanguageMemberOf
Indicates that a language variety is classified as a member of a larger macrolanguage grouping.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a586803481909af0032c35ca6e51 |
completed | April 10, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:42 p.m.