Triple

T12516535
Position Surface form Disambiguated ID Type / Status
Subject updatedb E299203 entity
Predicate doesNotRead P4300 FINISHED
Object file contents 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 contents | Statement: [updatedb, doesNotRead, file contents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotRead
Context triple: [updatedb, doesNotRead, file contents]
  • A. doesNotUse
    Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
  • B. doesNot chosen
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • C. doesNotTry
    Indicates that an entity makes no attempt to perform a particular action or engage in a specified activity.
  • D. doesNotProduce
    Indicates that one entity fails to generate, create, or yield another entity or outcome.
  • E. doesNotDetermine
    Indicates that one entity or factor does not uniquely fix, decide, or specify the state, value, or outcome of another.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
PD Predicate disambiguation batch_69d954096af88190b6be81b008c82139 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.