Triple
T17677631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prolog |
E440678
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Constraint Handling Rules |
—
|
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: Constraint Handling Rules | Statement: [Prolog, influenced, Constraint Handling Rules]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constraint Handling Rules Context triple: [Prolog, influenced, Constraint Handling Rules]
-
A.
The Model of Rules I
"The Model of Rules I" is a key chapter in Ronald Dworkin’s legal philosophy that challenges legal positivism by arguing that legal principles, not just rules, play a fundamental role in judicial decision-making.
-
B.
Karush–Kuhn–Tucker conditions
The Karush–Kuhn–Tucker conditions are fundamental optimality criteria in nonlinear programming that generalize Lagrange multipliers to handle inequality constraints.
-
C.
Object Constraint Language
Object Constraint Language is a formal specification language used primarily to define precise rules, constraints, and queries on UML models within software and systems modeling.
-
D.
Hudde’s rules
Hudde’s rules are a set of 17th-century algebraic techniques for finding maxima, minima, and multiple roots of equations, regarded as an early contribution to the development of calculus.
-
E.
Laporte rule
The Laporte rule is a selection rule in spectroscopy that states electronic transitions in centrosymmetric molecules or ions are only allowed between states of opposite parity, helping explain the intensity patterns of absorption and emission spectra.
- 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: Constraint Handling Rules Target entity description: Constraint Handling Rules is a high-level declarative programming language extension designed for writing and solving constraint-based systems through rule-based transformations.
-
A.
The Model of Rules I
"The Model of Rules I" is a key chapter in Ronald Dworkin’s legal philosophy that challenges legal positivism by arguing that legal principles, not just rules, play a fundamental role in judicial decision-making.
-
B.
Karush–Kuhn–Tucker conditions
The Karush–Kuhn–Tucker conditions are fundamental optimality criteria in nonlinear programming that generalize Lagrange multipliers to handle inequality constraints.
-
C.
Object Constraint Language
Object Constraint Language is a formal specification language used primarily to define precise rules, constraints, and queries on UML models within software and systems modeling.
-
D.
Hudde’s rules
Hudde’s rules are a set of 17th-century algebraic techniques for finding maxima, minima, and multiple roots of equations, regarded as an early contribution to the development of calculus.
-
E.
Laporte rule
The Laporte rule is a selection rule in spectroscopy that states electronic transitions in centrosymmetric molecules or ions are only allowed between states of opposite parity, helping explain the intensity patterns of absorption and emission spectra.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6e959c819092d9d33e79bd51f7 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10:01 a.m.