Triple

T8456868
Position Surface form Disambiguated ID Type / Status
Subject HSL-Zuid E199939 entity
Predicate signallingLevel P19148 FINISHED
Object ERTMS Level 2 E222799 NE FINISHED

How this triple was built (3 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: ERTMS Level 2 | Statement: [HSL-Zuid, signallingLevel, ERTMS Level 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ERTMS Level 2
Context triple: [HSL-Zuid, signallingLevel, ERTMS Level 2]
  • A. ETCS Level 2 chosen
    ETCS Level 2 is an advanced European train control and signalling standard that enables continuous, cab-based train supervision and high-speed, high-capacity railway operations.
  • B. Siemens Trainguard MT
    Siemens Trainguard MT is a communications-based train control (CBTC) signaling system developed by Siemens for fully automated and driverless metro and urban rail operations.
  • C. European Train Control System
    The European Train Control System (ETCS) is a standardized, interoperable train signaling and control system used across Europe and in high-speed railways worldwide to enhance safety and efficiency.
  • D. Automatic Train Operation (ATO)
    Automatic Train Operation (ATO) is a railway control system that automates key driving functions such as acceleration, speed regulation, and braking to improve safety, efficiency, and consistency of train operations.
  • E. CBTC
    CBTC (Communications-Based Train Control) is an advanced railway signalling system that uses continuous, high-capacity data communication to manage train movements with greater safety and efficiency.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: signallingLevel
Context triple: [HSL-Zuid, signallingLevel, ERTMS Level 2]
  • A. signalLevel
    Indicates the intensity or strength of a transmitted or received signal in a communication context.
  • B. signallingSystem chosen
    Indicates that one entity functions as a signalling system used to transmit information or cues to another entity.
  • C. usesSignaling
    Indicates that one entity communicates or coordinates with another by emitting, transmitting, or interpreting signals.
  • D. signalReach
    Indicates the extent or range over which a signal can be effectively transmitted or received between entities.
  • E. noiseLevel
    Indicates the intensity or amount of sound present in a given environment or from a specific source.
  • F. None of above.

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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48f180c8190a71cf9d7248ade60 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1de232508190803fd2dad21e677f completed April 2, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69cbd0fc634481909842c0a30077bfde completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:10 p.m.