Triple

T5210148
Position Surface form Disambiguated ID Type / Status
Subject Queen's Counsel E117610 entity
Predicate timeQualified P36936 FINISHED
Object typically after at least 10–15 years' practice 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: typically after at least 10–15 years' practice | Statement: [Queen's Counsel, timeQualified, typically after at least 10–15 years' practice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeQualified
Context triple: [Queen's Counsel, timeQualified, typically after at least 10–15 years' practice]
  • A. timeStatus
    Indicates the temporal state or condition of an event or entity relative to a reference time (e.g., past, present, future, ongoing, or scheduled).
  • B. timeAfterAble chosen
    Indicates that one event, state, or action occurs after another point in time at which it becomes possible or permissible.
  • C. timeLimited
    Indicates that the relationship or action is constrained to occur or remain valid only within a specific, limited time period.
  • D. timePeriodWithin
    Indicates that one time period is entirely contained within the bounds of another time period.
  • E. timeDefinite
    Indicates that the associated event or state occurs at a clearly specified, fixed point or interval in time.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a703e388190845dedd17252ddde completed March 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69bd77bb4e8c819094b5ac7cf61512f9 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:47 p.m.