Triple
T2445633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copley station |
E53386
|
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: [Copley station, fareSystem, CharlieTicket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CharlieTicket Context triple: [Copley station, fareSystem, CharlieTicket]
-
A.
CharlieTicket
chosen
CharlieTicket is a reusable paper smart card used for paying fares on Boston’s MBTA public transit system.
-
B.
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.
-
C.
MTA eTix
MTA eTix is a mobile ticketing application that lets riders purchase and display Long Island Rail Road and Metro-North Railroad tickets on their smartphones.
-
D.
Prime Ticket
Prime Ticket is a regional sports television network known for broadcasting Los Angeles-area professional sports, including Dodgers games during Vin Scully’s tenure.
-
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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abca23ebe8819099a579a07c1bb708 |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0baa6448190a4046a039168b8fe |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.