Triple
T21233827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kircherian bibliography of scientific and antiquarian works |
E523289
|
entity |
| Predicate | documentsTypeOfWork |
P143309
|
FINISHED |
| Object | scientific treatises |
—
|
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: scientific treatises | Statement: [Kircherian bibliography of scientific and antiquarian works, documentsTypeOfWork, scientific treatises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentsTypeOfWork Context triple: [Kircherian bibliography of scientific and antiquarian works, documentsTypeOfWork, scientific treatises]
-
A.
documentsTypeOfStructure
Indicates that an entity records or specifies the particular type or classification of a structure.
-
B.
documentationType
Indicates the specific category or kind of documentation associated with or required for an entity or process.
-
C.
documentTypeProduced
Indicates that one entity produces, generates, or creates a document of a specified type.
-
D.
documentTypeUsed
Indicates that a particular type or category of document is employed or applied in a given context or activity.
-
E.
legalFormOfWork
Indicates the legally defined type or classification of employment or work arrangement under which an activity is performed.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7351e4b908190bc02f063e3822123 |
completed | April 21, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:45 p.m.