Triple

T1479888
Position Surface form Disambiguated ID Type / Status
Subject Trent–Severn Waterway E30926 entity
Predicate numberOfMarineRailways P29239 FINISHED
Object 1 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: 1 | Statement: [Trent–Severn Waterway, numberOfMarineRailways, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfMarineRailways
Context triple: [Trent–Severn Waterway, numberOfMarineRailways, 1]
  • A. numberOfRailwayTracks
    Indicates the quantity of railway tracks associated with or present at a given entity or location.
  • B. numberOfRailLines
    Indicates the total count of rail lines associated with or serving a given entity.
  • C. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • D. isElectricRailway
    Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
  • E. hasRailSystem
    Indicates that an entity possesses or is served by a rail-based transportation system.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c674cc9c819088fc9146c7a7a914 completed March 1, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69a4c484e52c81908948ff8c0a42751b completed March 1, 2026, 10:58 p.m.
PDg Predicate description generation batch_69a4c57984088190b2c2d2d9cc2e5df9 completed March 1, 2026, 11:02 p.m.
Created at: March 1, 2026, 8:11 p.m.