Triple
T32258180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LTL |
E824076
|
entity |
| Predicate | hasAutomataTheoreticCorrespondence |
P167256
|
FINISHED |
| Object | Büchi automata |
—
|
NE NERFINISHED |
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: Büchi automata | Statement: [LTL, hasAutomataTheoreticCorrespondence, Büchi automata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAutomataTheoreticCorrespondence Context triple: [LTL, hasAutomataTheoreticCorrespondence, Büchi automata]
-
A.
producesAutomatonWith
chosen
Indicates that one entity creates or generates an automaton that is associated with or used by another entity.
-
B.
inLanguageTheory
Indicates that something is analyzed, described, or formulated within a particular linguistic or formal language theory.
-
C.
hasGrammarFullyDescribed
Indicates that the complete grammar of an entity (such as a language or formal system) has been fully specified and documented.
-
D.
hasPolynomialTimeAlgorithm
Indicates that there exists an algorithm for the given problem or task whose running time is bounded by a polynomial function of the size of its input.
-
E.
hasAutomorphism
Indicates that there exists a structure-preserving bijection from an entity to itself that maintains all relevant relations and operations.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 1, 2026, 12:41 a.m.