Triple
T6765726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Square–GMU station |
E154712
|
entity |
| Predicate | fareCollection |
P395
|
FINISHED |
| Object | SmarTrip |
E7649
|
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: SmarTrip | Statement: [Virginia Square–GMU station, fareCollection, SmarTrip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SmarTrip Context triple: [Virginia Square–GMU station, fareCollection, SmarTrip]
-
A.
SmarTrip
chosen
SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
-
B.
Metro TAP card
The Metro TAP card is a reusable, reloadable smart fare card used for contactless payment across the Los Angeles County public transit system.
-
C.
MetroCard
MetroCard is a magnetic stripe payment card formerly used as the primary method for paying fares on New York City’s public transit system, including subways and buses.
-
D.
METRO Q Card
The METRO Q Card is a reusable, reloadable smart fare card used to pay for rides on Houston’s METRO public transit system.
-
E.
MBTA CharlieCard
The MBTA CharlieCard is a reusable contactless smart card used to pay fares on Boston’s public transit system, including subways, buses, and some commuter rail and ferry 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d22ed30881909e1bfcfb8cf175a2 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a7b50388190b380f20f0213f0e5 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:12 p.m.