Triple
T23652214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thuringian State Archives |
E584196
|
entity |
| Predicate | archivesContent |
P25177
|
FINISHED |
| Object | administrative records |
—
|
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: administrative records | Statement: [Thuringian State Archives, archivesContent, administrative records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archivesContent Context triple: [Thuringian State Archives, archivesContent, administrative records]
-
A.
archiveContent
Indicates that content is being stored or moved into an archive state for long-term retention or historical reference.
-
B.
archivesModel
chosen
Indicates that one entity stores and preserves another entity as an archived model for long-term reference or retrieval.
-
C.
archivesType
Indicates that one entity serves as an archival record or stored version of another entity, specifying the type or category of that archived content.
-
D.
archivesOrRecords
Indicates that one entity serves as an archive or record-keeping resource for another entity or its activities.
-
E.
archiveOf
Indicates that one entity serves as a stored collection or repository preserving the records, documents, or materials of another entity.
- 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b358ce448190a654d2cd3e81ef83 |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:49 p.m.