Triple
T13946204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | no miracles argument |
E335390
|
entity |
| Predicate | inferenceForm |
P26269
|
FINISHED |
| Object | abductive reasoning |
—
|
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: abductive reasoning | Statement: [no miracles argument, inferenceForm, abductive reasoning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inferenceForm Context triple: [no miracles argument, inferenceForm, abductive reasoning]
-
A.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
B.
logicalForm
Indicates a relationship where an expression is associated with its structured, formal logical representation.
-
C.
probabilisticForm
Indicates that the relationship or action is expressed in terms of probabilities or likelihoods rather than as a definite or deterministic form.
-
D.
usesForm
chosen
Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
-
E.
formsPreambleOf
Indicates that one element serves as the introductory or preface section to another, typically larger, document or text.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e10f60c81908ee9636e85c070ff |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.