Triple

T6199849
Position Surface form Disambiguated ID Type / Status
Subject Netherlands Commercial Court E138601 entity
Predicate procedureLanguageChoice P69625 FINISHED
Object parties may agree to litigate in English LITERAL FINISHED

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: parties may agree to litigate in English | Statement: [Netherlands Commercial Court, procedureLanguageChoice, parties may agree to litigate in English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: procedureLanguageChoice
Context triple: [Netherlands Commercial Court, procedureLanguageChoice, parties may agree to litigate in English]
  • A. procedureLanguage
    Indicates the programming or formal language in which a given procedure, method, or algorithm is expressed or implemented.
  • B. usedProceduralLanguage
    Indicates that an entity carried out an action or implemented something by means of a procedural programming language.
  • C. compilerLanguage
    Indicates that one entity is the programming language in which a given compiler is implemented.
  • D. programmingLanguage
    Indicates that one entity is a programming language used to create, control, or interact with the other entity.
  • E. scriptUsedForLanguage
    Indicates that a particular writing script is employed to write or represent a given language.
  • F. None of above. chosen

Provenance (4 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06253534c8190aafe70a6cf5a67ec completed March 22, 2026, 9:42 p.m.
PD Predicate disambiguation batch_69c055fbce1081908805fd12e242ab96 completed March 22, 2026, 8:50 p.m.
PDg Predicate description generation batch_69c056c87340819088003f427706ebf8 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 4:20 p.m.