Triple

T13843708
Position Surface form Disambiguated ID Type / Status
Subject Olkhovaya station E332734 entity
Predicate hasTicketingSystem P3383 FINISHED
Object Troika card E249223 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: Troika card | Statement: [Olkhovaya station, hasTicketingSystem, Troika card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troika card
Context triple: [Olkhovaya station, hasTicketingSystem, Troika card]
  • A. Troika card chosen
    The Troika card is a reusable contactless smart card used for paying fares across Moscow’s public transportation system.
  • B. Leap Card
    Leap Card is a reusable, contactless smart card used for paying public transport fares across Dublin and other parts of Ireland.
  • C. The Card
    The Card is a comic novel by English writer Arnold Bennett that follows the ambitious rise of the charming and enterprising Edward Henry Machin in the fictional Five Towns.
  • D. Troika
    Troika is a key organizational body within the Global Forum on Migration and Development (GFMD) that helps guide and coordinate its leadership and decision-making processes.
  • E. Swiss Family Card
    The Swiss Family Card is a travel pass that allows children to travel for free or at a discount when accompanied by a parent holding a valid Swiss Travel System ticket or pass.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f87c188190b90faf7678cb9ad4 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.