Triple
T19111801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TLA |
E467807
|
entity |
| Predicate | relatedTool |
P28584
|
FINISHED |
| Object | TLA+ model checker TLC |
—
|
NE NERFINISHED |
How this triple was built (3 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: TLA+ model checker TLC | Statement: [TLA, relatedTool, TLA+ model checker TLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TLA+ model checker TLC Context triple: [TLA, relatedTool, TLA+ model checker TLC]
-
A.
TLA+
TLA+ is a formal specification language developed by Leslie Lamport for modeling and verifying concurrent and distributed systems using mathematical logic.
-
B.
IC3 model checking algorithm
The IC3 model checking algorithm is a SAT-based formal verification technique that incrementally constructs inductive invariants to efficiently prove or refute safety properties of hardware and software systems.
-
C.
SPIN model checker
SPIN is a widely used open-source model checker designed for the formal verification of distributed software systems and communication protocols.
-
D.
Model Checking (book)
"Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
-
E.
PlusCal algorithm language
PlusCal algorithm language is a high-level pseudocode-style language designed by Leslie Lamport for writing and reasoning about algorithms that can be automatically translated into TLA+ specifications.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TLA+ model checker TLC Target entity description: TLA+ model checker TLC is an automated verification tool that exhaustively explores the state space of TLA+ specifications to detect errors such as deadlocks, invariant violations, and liveness issues.
-
A.
TLA+
TLA+ is a formal specification language developed by Leslie Lamport for modeling and verifying concurrent and distributed systems using mathematical logic.
-
B.
IC3 model checking algorithm
The IC3 model checking algorithm is a SAT-based formal verification technique that incrementally constructs inductive invariants to efficiently prove or refute safety properties of hardware and software systems.
-
C.
SPIN model checker
SPIN is a widely used open-source model checker designed for the formal verification of distributed software systems and communication protocols.
-
D.
Model Checking (book)
"Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
-
E.
PlusCal algorithm language
PlusCal algorithm language is a high-level pseudocode-style language designed by Leslie Lamport for writing and reasoning about algorithms that can be automatically translated into TLA+ specifications.
- F. None of above. chosen
Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e394969c81909d09b2300ea0e041 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:04 p.m.