Triple

T19513791
Position Surface form Disambiguated ID Type / Status
Subject Al Ras Metro Station E488223 entity
Predicate fareSystem P395 FINISHED
Object NOL card NE NERFINISHED

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: NOL card | Statement: [Al Ras Metro Station, fareSystem, NOL card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NOL card
Context triple: [Al Ras Metro Station, fareSystem, NOL card]
  • A. Nol card chosen
    The Nol card is a rechargeable smart card used for paying fares across Dubai’s public transportation network, including metro, buses, trams, and water buses.
  • B. Nol Gold Card
    Nol Gold Card is a rechargeable smart card used for paying fares on public transport and related services in Dubai, offering added flexibility and benefits compared to standard Nol cards.
  • C. NOL
    NOL is a Polish vehicle registration code assigned to cars registered in the Olsztyn County area, which includes the town of Jeziorany.
  • D. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • E. Nol Silver Card
    Nol Silver Card is a rechargeable smart card used for convenient, discounted fare payment across public transportation services in Dubai.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63599c17881909a392a6026e45955 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.