Triple
T12207644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fréchet Inception Distance |
E290874
|
entity |
| Predicate | computedFrom |
P71610
|
FINISHED |
| Object | mean of feature embeddings |
—
|
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: mean of feature embeddings | Statement: [Fréchet Inception Distance, computedFrom, mean of feature embeddings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: computedFrom Context triple: [Fréchet Inception Distance, computedFrom, mean of feature embeddings]
-
A.
usesComputationMethod
Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
-
B.
isUsedToCompute
Indicates that one entity serves as an input, basis, or resource for performing a calculation or deriving a result about another entity.
-
C.
computationInput
Indicates that an entity serves as input data or parameters consumed by a computation or processing activity.
-
D.
computes
Indicates that one entity performs a calculation or processing operation to produce a result from given data or inputs.
-
E.
calculatedOn
chosen
Indicates that a value, result, or outcome is computed based on or using the referenced entity as its input, basis, or context.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.