Triple
T25371879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFA |
E632951
|
entity |
| Predicate | transitionFunctionType |
P168025
|
FINISHED |
| Object | Q × Σ → P(Q) |
—
|
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: Q × Σ → P(Q) | Statement: [NFA, transitionFunctionType, Q × Σ → P(Q)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transitionFunctionType Context triple: [NFA, transitionFunctionType, Q × Σ → P(Q)]
-
A.
transferFunctionType
Indicates the specific kind or category of transfer function that characterizes how input signals are transformed into output signals in a system.
-
B.
transferFunction
Indicates a relationship where some quantity, property, or information is passed or conveyed from one entity to another.
-
C.
transitionAreaFunction
Indicates a functional relationship where an entity serves as or defines an area of transition between two or more distinct regions, states, or conditions.
-
D.
transitionMechanismUsedWith
Indicates that a particular transition or change from one state to another is carried out using a specified mechanism or method.
-
E.
transitionCharacteristic
Indicates a relationship where an entity is characterized by how it changes state or condition over time or between phases.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 21, 2026, 1:38 p.m.