Triple

T19580331
Position Surface form Disambiguated ID Type / Status
Subject Neath and Brecon Railway E489969 entity
Predicate connectedIndustrialActivity P67736 FINISHED
Object coal mining 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: coal mining | Statement: [Neath and Brecon Railway, connectedIndustrialActivity, coal mining]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectedIndustrialActivity
Context triple: [Neath and Brecon Railway, connectedIndustrialActivity, coal mining]
  • A. industryActivities
    Indicates the types of economic or business activities in which an industry or sector is engaged.
  • B. connectsIndustrialCenter
    Indicates a relationship where one entity serves as a link or route that joins or provides access between industrial centers.
  • C. industrialFocus chosen
    Indicates a relationship where an entity is primarily concerned with, specialized in, or directed toward a particular industrial sector or area of industrial activity.
  • D. industryConnection
    Indicates a professional or business relationship linking entities within the same or related industries, such as partnerships, collaborations, or shared sector involvement.
  • E. industrialCategory
    Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402763b8819099e535979f094f9d completed April 20, 2026, 3:03 p.m.
PD Predicate disambiguation batch_69e514dbdb988190b55931a8138c73e7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:42 p.m.