Triple
T34704977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish territories directly incorporated into the Reich |
E1000475
|
entity |
| Predicate | languageOfDocumentOrName |
P42636
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Polish territories directly incorporated into the Reich, languageOfDocumentOrName, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfDocumentOrName Context triple: [Polish territories directly incorporated into the Reich, languageOfDocumentOrName, German]
-
A.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
-
B.
languageOfDocumentation
chosen
Indicates the language in which the documentation for an entity is written or provided.
-
C.
languageOfRecords
Indicates the language in which the records are written or maintained.
-
D.
languageOfManuscript
Indicates the language in which a given manuscript is written.
-
E.
languageName
Indicates the specific name assigned to a language in the relationship.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a007aa8d3a481908543f9b5d562a90c |
completed | May 10, 2026, 12:31 p.m. |
| PD | Predicate disambiguation | batch_6a007a44996481908688ccfdbc56511d |
completed | May 10, 2026, 12:29 p.m. |
Created at: May 3, 2026, 3:59 p.m.