Triple

T32537447
Position Surface form Disambiguated ID Type / Status
Subject 1923 Grouping E831626 entity
Predicate sectorReorganized P174562 FINISHED
Object mainline passenger rail services 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: mainline passenger rail services | Statement: [1923 Grouping, sectorReorganized, mainline passenger rail services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sectorReorganized
Context triple: [1923 Grouping, sectorReorganized, mainline passenger rail services]
  • A. sectorReformed
    Indicates that a particular sector has undergone significant changes or restructuring, typically through reforms or policy interventions.
  • B. sectorPreparation
    Indicates that an entity is involved in getting a specific sector ready for operation, use, or transition through planning, setup, or related preparatory actions.
  • C. sector
    Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
  • D. reorganizedIn
    Indicates that an entity underwent a structural or organizational change within a specified context, time, or framework.
  • E. sectorBase
    Indicates that one entity serves as the primary base or foundational location for operations within a particular sector of another entity.
  • F. None of above. chosen

Provenance (4 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_69f34924b1cc8190ad3aca0c0f012a7e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c572f79c819095c549d8c9942b3a completed May 3, 2026, 3:48 a.m.
PD Predicate disambiguation batch_69f6bd2a14b081908162923dfbf0a6f4 completed May 3, 2026, 3:12 a.m.
PDg Predicate description generation batch_69f6c1b666188190ac43c3011a7df048 completed May 3, 2026, 3:32 a.m.
Created at: May 1, 2026, 1:01 a.m.