Triple
T25371959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glushkov construction |
E632952
|
entity |
| Predicate | typicalOutputAutomaton |
P66288
|
FINISHED |
| Object | position automaton of the given regular expression |
—
|
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: position automaton of the given regular expression | Statement: [Glushkov construction, typicalOutputAutomaton, position automaton of the given regular expression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOutputAutomaton Context triple: [Glushkov construction, typicalOutputAutomaton, position automaton of the given regular expression]
-
A.
producesAutomatonWith
Indicates that one entity creates or generates an automaton that is associated with or used by another entity.
-
B.
typicalStateSpace
Indicates the usual or standard set of states in which an entity, system, or process is considered to operate.
-
C.
outputOf
chosen
Indicates that one entity is the result or product generated by the processing, operation, or behavior of another entity.
-
D.
actorOutputs
Indicates that an actor produces or emits certain outputs as a result of its actions or behavior.
-
E.
outputsTo
Indicates that the result or data produced by one entity is directed or sent to another entity as its destination or target.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: April 21, 2026, 1:38 p.m.