Triple

T9101084
Position Surface form Disambiguated ID Type / Status
Subject Davydkovo E218153 entity
Predicate fareSystem P395 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: [Davydkovo, fareSystem, Troika card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troika card
Context triple: [Davydkovo, fareSystem, 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. 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.
  • C. 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.
  • D. Go-To Card
    The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit system.
  • E. Centurion Card
    The Centurion Card is American Express's ultra-exclusive, invitation-only charge card known for its high fees, elite status, and extensive luxury benefits and services.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9711babc8190a336812dd08d9c73 completed April 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0479a58c48190acd4a4af21aa01c3 completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:15 p.m.