Triple

T22504422
Position Surface form Disambiguated ID Type / Status
Subject Colas E556352 entity
Predicate hasSubsidiary P254 FINISHED
Object Colas Rail NE NERFINISHED

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: Colas Rail | Statement: [Colas, hasSubsidiary, Colas Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colas Rail
Context triple: [Colas, hasSubsidiary, Colas Rail]
  • A. Colas Rail chosen
    Colas Rail is a UK-based rail freight and infrastructure company that provides track maintenance, engineering, and logistics services across the British railway network.
  • B. Systra
    Systra is a global engineering and consulting firm specializing in mass transit and rail infrastructure projects.
  • C. Motor Rail Ltd
    Motor Rail Ltd is a British engineering company known for designing and building lightweight rail vehicles, including the Class 139 railcars used on branch line services.
  • D. UGL Rail
    UGL Rail is an Australian engineering and rail services company that designs, manufactures, and maintains rolling stock and rail infrastructure.
  • E. Cisdneper Railways
    Cisdneper Railways was a regional railway administration in the former Soviet Union that managed rail transport infrastructure in the Dnieper River area, including what later became the Crimean Railway network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ac5808190a66f9111c350f4dc completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.