Triple

T2779424
Position Surface form Disambiguated ID Type / Status
Subject Analytical Writing E61655 entity
Predicate responseType P20198 FINISHED
Object typed on computer 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: typed on computer | Statement: [Analytical Writing, responseType, typed on computer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: responseType
Context triple: [Analytical Writing, responseType, typed on computer]
  • A. typicalResponse
    Indicates that an entity’s behavior, reaction, or outcome is the standard or commonly expected response in a given context or situation.
  • B. responseFrom
    Indicates that one entity is the originator or source of a response directed to another entity or request.
  • C. responseTool chosen
    Indicates a tool, method, or mechanism used to produce, deliver, or manage a response in a given context.
  • D. representationType
    Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
  • E. responseFormula
    Indicates that one entity’s reaction, reply, or outcome is expressed or encoded in a specific formula or structured representation.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddceb9d88190961e30d521a21552 completed March 7, 2026, 8:11 a.m.
PD Predicate disambiguation batch_69abdd00b65c8190a8ea444308c4fa2b completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:57 p.m.