Triple
T9838515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symbolic Model Checking |
E239161
|
entity |
| Predicate | usesDataStructure |
P32204
|
FINISHED |
| Object |
OBDDs
OBDDs (Ordered Binary Decision Diagrams) are a canonical, graph-based representation of Boolean functions that enables efficient manipulation and verification in formal methods and model checking.
|
E824078
|
NE FINISHED |
How this triple was built (4 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: OBDDs | Statement: [Symbolic Model Checking, usesDataStructure, OBDDs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OBDDs Context triple: [Symbolic Model Checking, usesDataStructure, OBDDs]
-
A.
Davis–Putnam algorithm
The Davis–Putnam algorithm is a pioneering procedure in automated theorem proving and propositional logic satisfiability that laid foundational groundwork for modern SAT solvers.
-
B.
Satisfiability Modulo Theories (SMT)
Satisfiability Modulo Theories (SMT) is a framework in computer science and mathematical logic for deciding the satisfiability of logical formulas with respect to background theories such as arithmetic, bit-vectors, arrays, and data types, widely used in verification, synthesis, and automated reasoning.
-
C.
CDCL SAT solver
A CDCL SAT solver is an advanced algorithm for solving Boolean satisfiability problems that extends the classic DPLL approach with conflict-driven clause learning and non-chronological backtracking to greatly improve efficiency on large, complex instances.
-
D.
OBDA systems
OBDA systems are software frameworks that enable querying heterogeneous data sources through an ontology-based abstraction layer, typically using languages like OWL 2 QL to provide semantic integration and efficient query answering.
-
E.
Edge-Based Clausal Syntax
Edge-Based Clausal Syntax is a theoretical linguistics work by Paul Postal that develops a clause structure framework organized around hierarchical edge positions rather than traditional phrase-structure configurations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OBDDs Triple: [Symbolic Model Checking, usesDataStructure, OBDDs]
Generated description
OBDDs (Ordered Binary Decision Diagrams) are a canonical, graph-based representation of Boolean functions that enables efficient manipulation and verification in formal methods and model checking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OBDDs Target entity description: OBDDs (Ordered Binary Decision Diagrams) are a canonical, graph-based representation of Boolean functions that enables efficient manipulation and verification in formal methods and model checking.
-
A.
Davis–Putnam algorithm
The Davis–Putnam algorithm is a pioneering procedure in automated theorem proving and propositional logic satisfiability that laid foundational groundwork for modern SAT solvers.
-
B.
Satisfiability Modulo Theories (SMT)
Satisfiability Modulo Theories (SMT) is a framework in computer science and mathematical logic for deciding the satisfiability of logical formulas with respect to background theories such as arithmetic, bit-vectors, arrays, and data types, widely used in verification, synthesis, and automated reasoning.
-
C.
CDCL SAT solver
A CDCL SAT solver is an advanced algorithm for solving Boolean satisfiability problems that extends the classic DPLL approach with conflict-driven clause learning and non-chronological backtracking to greatly improve efficiency on large, complex instances.
-
D.
OBDA systems
OBDA systems are software frameworks that enable querying heterogeneous data sources through an ontology-based abstraction layer, typically using languages like OWL 2 QL to provide semantic integration and efficient query answering.
-
E.
Edge-Based Clausal Syntax
Edge-Based Clausal Syntax is a theoretical linguistics work by Paul Postal that develops a clause structure framework organized around hierarchical edge positions rather than traditional phrase-structure configurations.
- F. None of above. chosen
Provenance (5 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34921b881909836ba0f5b42a27b |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5d145ac8190ad10a4328216ef54 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6bb23cc81909efbeccf147018e8 |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d726e58c819090135d1ff275d2d8 |
completed | April 5, 2026, 3:29 a.m. |
Created at: March 30, 2026, 8:33 p.m.