Triple

T2368563
Position Surface form Disambiguated ID Type / Status
Subject State-Owned Enterprises Act 1986 E46037 entity
Predicate hasSchedule P14477 FINISHED
Object Schedule 1 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: Schedule 1 | Statement: [State-Owned Enterprises Act 1986, hasSchedule, Schedule 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSchedule
Context triple: [State-Owned Enterprises Act 1986, hasSchedule, Schedule 1]
  • A. hasWorkSchedule
    Indicates that an entity is assigned or follows a specific work schedule, defining when they are expected to work.
  • B. containsSchedule chosen
    Indicates that one entity includes or holds a schedule associated with another entity or activity.
  • C. hasMeeting
    Indicates that one entity is scheduled to participate in or hold a meeting with another entity or at a specific time or place.
  • D. usesScheduleFormat
    Indicates that one entity adopts or follows the schedule structure, pattern, or formatting defined by another entity.
  • E. hasPlan
    Indicates that an entity possesses or is associated with a specific plan or course of action.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc76bf75c8190b014c3dbfc46bba3 completed March 7, 2026, 6:36 a.m.
PD Predicate disambiguation batch_69abc59b88348190a2d6c08f69974117 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:56 p.m.