Triple
T89986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA bus network |
E1808
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | CharlieTicket |
E16692
|
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: CharlieTicket | Statement: [MBTA bus network, fareSystem, CharlieTicket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CharlieTicket Context triple: [MBTA bus network, fareSystem, CharlieTicket]
-
A.
CharlieTicket
chosen
CharlieTicket is a reusable paper smart card used for paying fares on Boston’s MBTA public transit system.
-
B.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
C.
Transportation and Ticket Center
The Transportation and Ticket Center is Walt Disney World's primary transit and ticketing hub, where guests park, purchase admission, and transfer via monorail or ferryboat to the Magic Kingdom and other resort areas.
-
D.
TAP card
The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
-
E.
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.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a383e3575c8190932dcdc25503d06e |
completed | March 1, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38611d3808190834c96fe39f9cf0d |
completed | March 1, 2026, 12:19 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.