Triple

T15777626
Position Surface form Disambiguated ID Type / Status
Subject Baku Metro E382528 entity
Predicate fareSystem P395 FINISHED
Object BakiKart
BakiKart is a contactless smart card payment system used for public transportation in Baku, Azerbaijan.
E1177395 NE FINISHED

How this triple was built (4 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: BakiKart | Statement: [Baku Metro, fareSystem, BakiKart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BakiKart
Context triple: [Baku Metro, fareSystem, BakiKart]
  • A. BAKred
    BAKred was the abbreviated name of Germany’s former Federal Banking Supervisory Office, the national authority responsible for overseeing and regulating the banking sector before its functions were integrated into BaFin.
  • B. Metcard
    Metcard was Melbourne’s former magnetic stripe ticketing system used for public transport before the introduction of the Myki smartcard.
  • C. Cashbee card
    The Cashbee card is a rechargeable contactless smart card widely used in South Korea for paying public transportation fares and small retail purchases.
  • D. Presto card
    The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions in Ontario, Canada.
  • E. BKartA
    BKartA is the German Federal Cartel Office, the national competition authority responsible for enforcing antitrust law and safeguarding market competition in Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BakiKart
Triple: [Baku Metro, fareSystem, BakiKart]
Generated description
BakiKart is a contactless smart card payment system used for public transportation in Baku, Azerbaijan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BakiKart
Target entity description: BakiKart is a contactless smart card payment system used for public transportation in Baku, Azerbaijan.
  • A. BAKred
    BAKred was the abbreviated name of Germany’s former Federal Banking Supervisory Office, the national authority responsible for overseeing and regulating the banking sector before its functions were integrated into BaFin.
  • B. Metcard
    Metcard was Melbourne’s former magnetic stripe ticketing system used for public transport before the introduction of the Myki smartcard.
  • C. Cashbee card
    The Cashbee card is a rechargeable contactless smart card widely used in South Korea for paying public transportation fares and small retail purchases.
  • D. Presto card
    The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions in Ontario, Canada.
  • E. BKartA
    BKartA is the German Federal Cartel Office, the national competition authority responsible for enforcing antitrust law and safeguarding market competition in Germany.
  • F. None of above. chosen

Provenance (5 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909d7b7c81908b62faa2ab378fad completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff9414408c8190903421d28519d9e6 completed May 9, 2026, 8:07 p.m.
NED2 Entity disambiguation (via description) batch_69ff9498642081909fd617a327b4c704 completed May 9, 2026, 8:10 p.m.
Created at: April 10, 2026, 4:47 a.m.