Triple
T22671170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudovian language |
E560218
|
entity |
| Predicate | sourceLanguageFor |
P71670
|
FINISHED |
| Object | Sudovian toponyms in northeastern Poland |
—
|
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: Sudovian toponyms in northeastern Poland | Statement: [Sudovian language, sourceLanguageFor, Sudovian toponyms in northeastern Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceLanguageFor Context triple: [Sudovian language, sourceLanguageFor, Sudovian toponyms in northeastern Poland]
-
A.
sourceLanguageMeaning
Indicates that one entity expresses the meaning or sense of another entity in a particular source language.
-
B.
sourceLanguageRegion
Indicates the geographic or cultural region associated with the language from which something originates or is derived.
-
C.
languageOfSources
Indicates that the specified language is the language in which the referenced sources or source materials are expressed.
-
D.
languageTranslatedFrom
chosen
Indicates that a language is the source/original language from which content has been translated into another language.
-
E.
indirectOriginLanguage
Indicates that something originates from a particular language, not directly but through one or more intermediate languages or sources.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781f946c8190add74a7dac2b1819 |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:10 p.m.