Triple

T9555057
Position Surface form Disambiguated ID Type / Status
Subject TVM cab signalling E230519 entity
Predicate relatedTo P37 FINISHED
Object ERTMS E222798 NE 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: ERTMS | Statement: [TVM cab signalling, relatedTo, ERTMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERTMS
Context triple: [TVM cab signalling, relatedTo, ERTMS]
  • A. European Train Control System chosen
    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.
  • B. ETCS Level 3
    ETCS Level 3 is an advanced, moving-block train control standard that enables continuous train integrity supervision and higher line capacity within the European Train Control System.
  • C. 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.
  • D. ETCS Level 2
    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.
  • 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.

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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd992412148190b092bd9918764d5f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1528bd99881909e3f51472a99917f completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:03 p.m.