Triple
T20441256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MARTA rail network |
E501394
|
entity |
| Predicate | fareMedia |
P1303
|
FINISHED |
| Object | Breeze Ticket |
—
|
NE NERFINISHED |
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: Breeze Ticket | Statement: [MARTA rail network, fareMedia, Breeze Ticket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breeze Ticket Context triple: [MARTA rail network, fareMedia, Breeze Ticket]
-
A.
Breeze Ticket
chosen
Breeze Ticket is MARTA’s reloadable smart fare card used for paying bus and rail fares in the Atlanta public transit system.
-
B.
Raseedi Ticket
Raseedi Ticket is an autobiographical work by renowned Punjabi writer Amrita Pritam, reflecting on her personal life, relationships, and literary journey.
-
C.
The Ticket
The Ticket is a 2016 American drama film about a blind man who regains his sight and becomes consumed by ambition, starring Dan Stevens and Kerry Bishé.
-
D.
Nol Red Ticket
Nol Red Ticket is a disposable, low-cost public transport card used by visitors and occasional riders to pay fares across Dubai’s metro, bus, and other RTA services.
-
E.
CharlieTicket
CharlieTicket is a reusable paper smart card used for paying 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 (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f2e8888190a2e0d6b2bf6c905d |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.