Triple

T4109032
Position Surface form Disambiguated ID Type / Status
Subject TGV Réseau E88522 entity
Predicate trainProtectionSystem P40340 FINISHED
Object KVB E194420 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: KVB | Statement: [TGV Réseau, trainProtectionSystem, KVB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KVB
Context triple: [TGV Réseau, trainProtectionSystem, KVB]
  • A. KVB chosen
    KVB is a French train protection and automatic speed control system used to enhance the safety of railway operations.
  • B. KCB
    KCB is the post-nominal abbreviation for Knight Commander of the Order of the Bath, a senior British order of chivalry.
  • C. CBK
    CBK is the Central Bank of Kenya, the national monetary authority responsible for issuing currency and formulating and implementing the country’s monetary policy.
  • D. CBK
    CBK is the Central Bank of Kuwait, the country’s primary monetary authority responsible for issuing currency, regulating the banking sector, and formulating monetary policy.
  • E. VKO
    VKO is the IATA airport code for Vnukovo International Airport, one of Moscow’s major international airports in Russia.
  • 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: trainProtectionSystem
Context triple: [TGV Réseau, trainProtectionSystem, KVB]
  • A. railwaySecured
    Indicates that a railway or rail line has been made safe, protected, or brought under control, ensuring secure passage or operation.
  • B. usesRailwaySignallingSystem chosen
    Indicates that one entity operates or applies a particular railway signalling system in the context of train or rail traffic control.
  • C. fareControl
    Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
  • D. railwayControlledBy
    Indicates that the operation, management, or authority over a railway is exercised by a specified controlling entity.
  • E. railComponent
    Indicates a relationship where one entity is a structural or functional part of a rail or railway system component of 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03d7240c8190a64dcbc669772808 completed March 9, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b850d588190a0fc4b784bc7ca4f completed March 14, 2026, 2:07 p.m.
PD Predicate disambiguation batch_69af0183eb84819087d7184de28f5514 completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:40 p.m.