Triple

T3376547
Position Surface form Disambiguated ID Type / Status
Subject Hyderabad Metro E71079 entity
Predicate signallingSystem P19148 FINISHED
Object CBTC E340578 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: CBTC | Statement: [Hyderabad Metro, signallingSystem, CBTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBTC
Context triple: [Hyderabad Metro, signallingSystem, 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.

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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e776508190bc123fb17b36f062 completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334465b50819080c6f23eaa6583be completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.