Triple

T832414
Position Surface form Disambiguated ID Type / Status
Subject Dubai Bus E17993 entity
Predicate fareSystem P395 FINISHED
Object Nol card E74359 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: Nol card | Statement: [Dubai Bus, fareSystem, Nol card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nol card
Context triple: [Dubai Bus, 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. CharlieCard
    The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
  • C. Cardiac Cards
    Cardiac Cards is a nickname for the former St. Louis Cardinals NFL team, referencing their dramatic, late-game comebacks and close finishes.
  • D. NOK
    NOK is the official currency code for the Norwegian krone, the national currency of Norway.
  • E. 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.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb647988190950e1790bcfa60a5 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9991488190808adb29d3ad6273 completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.