Triple

T5922832
Position Surface form Disambiguated ID Type / Status
Subject CommonJS module system E131737 entity
Predicate moduleScope P45871 FINISHED
Object file-based 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: file-based | Statement: [CommonJS module system, moduleScope, file-based]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moduleScope
Context triple: [CommonJS module system, moduleScope, file-based]
  • A. definesScopeFor chosen
    Indicates that one entity establishes or delimits the scope, boundaries, or applicability within which another entity operates or is interpreted.
  • B. compilationScope
    Indicates the range or set of elements (such as files, modules, or code units) that are included and processed together during a compilation process.
  • C. scopeOfReference
    Indicates the range or domain of things, concepts, or entities to which a reference, statement, or expression applies.
  • D. encodingScope
    Indicates the range or extent of content or information that is covered, represented, or captured by a particular encoding.
  • E. scopeDefault
    Indicates that something applies or is valid in the absence of a more specific or overriding scope.
  • F. None of above.

Provenance (3 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69c033541d108190a34d1fde2fe9dacb completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4 p.m.