Triple
T2577940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book I: Fundamental Ideas |
E57019
|
entity |
| Predicate | laysOut |
P10827
|
FINISHED |
| Object | foundational concepts of Keynes’s probability theory |
—
|
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: foundational concepts of Keynes’s probability theory | Statement: [Book I: Fundamental Ideas, laysOut, foundational concepts of Keynes’s probability theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laysOut Context triple: [Book I: Fundamental Ideas, laysOut, foundational concepts of Keynes’s probability theory]
-
A.
layoutEngine
Indicates the rendering or layout system responsible for arranging and positioning elements within a visual or document structure.
-
B.
hasLayout
chosen
Indicates that one entity defines or is associated with the structural arrangement or organization (layout) of another entity.
-
C.
lays
Indicates that one entity deposits or places something, typically eggs or objects, onto a surface or in a location.
-
D.
printLayout
Indicates that one entity arranges and formats content for physical or virtual printing according to a specified layout.
-
E.
layoutDetail
Indicates the specific arrangement or configuration details of how elements are laid out in relation to each other.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a86f9881908df29a7caaf9a7df |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.