Triple
T2528904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | METRO light rail |
E56106
|
entity |
| Predicate | fareMedia |
P1303
|
FINISHED |
| Object |
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.
|
E274764
|
NE FINISHED |
How this triple was built (4 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 light rail, fareMedia, Go-To Card]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go-To Card Context triple: [METRO light rail, fareMedia, Go-To Card]
-
A.
Troika card
The Troika card is a reusable contactless smart card used for paying fares across Moscow’s public transportation system.
-
B.
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.
-
C.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
D.
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.
-
E.
CharmCard
CharmCard is a contactless smart fare card used for paying transit fares across the Maryland Transit Administration’s bus, rail, and other public transportation services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Go-To Card Triple: [METRO light rail, fareMedia, Go-To Card]
Generated description
The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Go-To Card Target entity description: The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit system.
-
A.
Troika card
The Troika card is a reusable contactless smart card used for paying fares across Moscow’s public transportation system.
-
B.
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.
-
C.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
D.
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.
-
E.
CharmCard
CharmCard is a contactless smart fare card used for paying transit fares across the Maryland Transit Administration’s bus, rail, and other public transportation services.
- F. None of above. chosen
Provenance (5 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd25903f08190b46e12d32278daca |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bb3b55c81909e72ed055887ecca |
completed | March 9, 2026, 8:21 p.m. |
| NEDg | Description generation | batch_69af41aa199c8190b4478a93c41ae18a |
completed | March 9, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af4277601c8190b55d5c5504dcd0ab |
completed | March 9, 2026, 9:58 p.m. |
Created at: March 6, 2026, 9:46 p.m.