Triple

T5111490
Position Surface form Disambiguated ID Type / Status
Subject Time-Turner E115221 entity
Predicate userRequirement P21995 FINISHED
Object precise timing 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: precise timing | Statement: [Time-Turner, userRequirement, precise timing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: userRequirement
Context triple: [Time-Turner, userRequirement, precise timing]
  • A. serviceUserRequirement chosen
    Indicates that a user has a specific requirement or need that a service is expected to fulfill.
  • B. communicationRequirement
    Indicates that one entity is obligated or expected to communicate with another entity under specified conditions or for a particular purpose.
  • C. dialogRequirement
    Indicates that a certain condition, piece of information, or interaction must occur within a dialog or conversation for a related action, state, or process to proceed or be considered valid.
  • D. typicalServiceRequirement
    Indicates that a certain condition, resource, or specification is normally needed or expected for a service to be properly provided or operated.
  • E. typeOfRequirement
    Indicates that one requirement is classified as a specific kind or category of another, more general requirement.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75ca57e881908242def2a032902e completed March 20, 2026, 4:28 p.m.
PD Predicate disambiguation batch_69bd715fe3a8819087d3065adddba515 completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:41 p.m.