Triple

T15910176
Position Surface form Disambiguated ID Type / Status
Subject NSSX E385826 entity
Predicate markingStandard P34280 FINISHED
Object railroad reporting mark system 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: railroad reporting mark system | Statement: [NSSX, markingStandard, railroad reporting mark system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: markingStandard
Context triple: [NSSX, markingStandard, railroad reporting mark system]
  • A. standardsType
    Indicates the classification or category of standards that apply to or are associated with an entity or activity.
  • B. isStandardOf chosen
    Indicates that something serves as the recognized norm, reference, or benchmark by which another thing is defined, measured, or evaluated.
  • C. markingFeature
    Indicates a feature that serves as a distinguishing mark or identifier associated with an entity.
  • D. marks
    Indicates that one entity makes a visible or symbolic sign on, or designates, another entity for identification, emphasis, or distinction.
  • E. revisedByStandard
    Indicates that something has been updated or modified in accordance with a specified standard or set of standards.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142ca3b208190946c3aa4c1e6087c completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:52 a.m.