Triple

T3704145
Position Surface form Disambiguated ID Type / Status
Subject Belgian railway network E80849 entity
Predicate freightUsage P28699 FINISHED
Object yes 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: yes | Statement: [Belgian railway network, freightUsage, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: freightUsage
Context triple: [Belgian railway network, freightUsage, yes]
  • A. freightTraffic
    Indicates the movement or volume of goods and cargo being transported, typically via commercial transport networks such as rail, road, sea, or air.
  • B. logisticsFeature chosen
    Indicates that something possesses a characteristic, capability, or function specifically related to logistics operations or processes.
  • C. isOnFreightRoute
    Indicates that something lies along or is included within a designated freight transportation route used for moving goods.
  • D. isKeyFreightRoute
    Indicates that a transportation route serves as a primary or strategically important corridor for moving freight.
  • E. hasCargoServices
    Indicates that an entity provides or is equipped to handle cargo transportation or freight services for another entity or location.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54aaac88190b775dba2513b6d4a completed March 8, 2026, 6:51 p.m.
PD Predicate disambiguation batch_69adb84eeca48190bb4de637e9f0e27a completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:33 p.m.