Triple

T3311270
Position Surface form Disambiguated ID Type / Status
Subject Line 16 (Beijing Subway) E69576 entity
Predicate signalling P19148 FINISHED
Object CBTC E340578 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: CBTC | Statement: [Line 16 (Beijing Subway), signalling, CBTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBTC
Context triple: [Line 16 (Beijing Subway), signalling, CBTC]
  • A. CBTC chosen
    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.
  • B. CTCS-3
    CTCS-3 is a high-level Chinese Train Control System standard used for advanced, high-speed railway signaling and train operation control.
  • C. CTC
    CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
  • D. CTC
    CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
  • E. 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.
  • 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: signalling
Context triple: [Line 16 (Beijing Subway), signalling, CBTC]
  • A. signallingSystem chosen
    Indicates that one entity functions as a signalling system used to transmit information or cues to another entity.
  • B. usesSignaling
    Indicates that one entity communicates or coordinates with another by emitting, transmitting, or interpreting signals.
  • C. militarySignal
    Indicates a relationship where one party sends or uses a signal for military or defense-related purposes toward another party or target.
  • D. signalType
    Indicates the specific kind or category of signal associated with or used by an entity or interaction.
  • E. compatibleWithSignaling
    Indicates that one entity can correctly interpret, process, or operate using the signaling mechanisms, protocols, or formats employed by another entity.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ec80508190baa78435b983b7b5 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f0d52081908bbade5e514f17d1 completed March 12, 2026, 5:12 p.m.
PD Predicate disambiguation batch_69ada4282730819092aa39c5f9269df0 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:11 p.m.