Triple

T17677631
Position Surface form Disambiguated ID Type / Status
Subject Prolog E440678 entity
Predicate influenced P9 FINISHED
Object Constraint Handling Rules
Constraint Handling Rules is a high-level declarative programming language extension designed for writing and solving constraint-based systems through rule-based transformations.
E1282533 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: 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.
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: Constraint Handling Rules
Triple: [Prolog, influenced, Constraint Handling Rules]
Generated description
Constraint Handling Rules is a high-level declarative programming language extension designed for writing and solving constraint-based systems through rule-based transformations.
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 (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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6e959c819092d9d33e79bd51f7 completed April 19, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a022325d6108190975082abcdb21ce1 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022759531c8190a77c5dc4e3ccaee6 completed May 11, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_6a0227ff79d881908ad190b2665bc63d completed May 11, 2026, 7:03 p.m.
Created at: April 10, 2026, 10:01 a.m.