Triple

T3387248
Position Surface form Disambiguated ID Type / Status
Subject METRO Blue Line E71330 entity
Predicate fareMedium P1303 FINISHED
Object Go-To Card E274764 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: Go-To Card | Statement: [METRO Blue Line, fareMedium, Go-To Card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Go-To Card
Context triple: [METRO Blue Line, fareMedium, Go-To Card]
  • A. Go-To Card chosen
    The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit 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. Troika card
    The Troika card is a reusable contactless smart card used for paying fares across Moscow’s public transportation system.
  • 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. CharlieCard
    The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb66448fc8190a8582145f02bb1d9 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33458130881908a2b47abd91f4ea8 completed March 12, 2026, 9:47 p.m.
Created at: March 8, 2026, 3:14 p.m.