Triple
T751890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mathematical Analysis of Logic |
E15466
|
entity |
| Predicate | laysFoundationFor |
P1450
|
FINISHED |
| Object | symbolic logic |
—
|
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: symbolic logic | Statement: [The Mathematical Analysis of Logic, laysFoundationFor, symbolic logic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laysFoundationFor Context triple: [The Mathematical Analysis of Logic, laysFoundationFor, symbolic logic]
-
A.
helpedLayFoundationFor
chosen
Indicates that one entity contributed significantly to the initial development or establishment of another entity, enabling its later growth or success.
-
B.
cornerstoneLaidBy
Indicates that the act of laying a building’s cornerstone was performed by a specified agent or entity.
-
C.
hasFoundation
Indicates that an entity is supported, established, or based upon a particular foundation or underlying basis.
-
D.
foundedUnder
Indicates that an entity was established or created during the tenure, authority, or jurisdiction of another entity (such as a leader, regime, or governing body).
-
E.
foundedFor
Indicates that an entity was established or created specifically to serve, support, or benefit another entity or purpose.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64c67748190aef3522b4b428563 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a501c4cc81908de6d63e3d4f60d7 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.