Triple

T11471159
Position Surface form Disambiguated ID Type / Status
Subject Quebec North Shore and Labrador Railway E271909 entity
Predicate hasInfrastructureUse P6820 FINISHED
Object export of mineral resources 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: export of mineral resources | Statement: [Quebec North Shore and Labrador Railway, hasInfrastructureUse, export of mineral resources]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInfrastructureUse
Context triple: [Quebec North Shore and Labrador Railway, hasInfrastructureUse, export of mineral resources]
  • A. usesInfrastructure chosen
    Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
  • B. hasInfrastructureType
    Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
  • C. hasHumanUse
    Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
  • D. hasGlobalInfrastructure
    Indicates that an entity possesses infrastructure, facilities, or operational capabilities that are distributed across multiple countries or regions worldwide.
  • E. hasSiteUse
    Indicates that a site is used or designated for a particular function, activity, or purpose.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d82949e3688190b024a4980666c94f completed April 9, 2026, 10:33 p.m.
PD Predicate disambiguation batch_69d8086ecd6c81908f424864857762d6 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:35 p.m.