Triple
T19111817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TLA |
E467807
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | TLA+ |
—
|
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: TLA+ | Statement: [TLA, influenced, TLA+]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TLA+ Context triple: [TLA, influenced, TLA+]
-
A.
TLA+
chosen
TLA+ is a formal specification language developed by Leslie Lamport for modeling and verifying concurrent and distributed systems using mathematical logic.
-
B.
TLA+ model checker TLC
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.
-
C.
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.
-
D.
TLC model checker
The TLC model checker is a tool for exhaustively verifying TLA+ specifications by exploring all possible system behaviors to detect errors such as deadlocks and invariant violations.
-
E.
Dafny programming language
Dafny is a verification-aware programming language and toolchain designed to support formal specification, automated proof of correctness, and executable code generation for imperative and functional programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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.