Triple
T3444727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pioneer Village station |
E72647
|
entity |
| Predicate | ticketingSystem |
P3383
|
FINISHED |
| Object | PRESTO |
E31472
|
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: PRESTO | Statement: [Pioneer Village station, ticketingSystem, PRESTO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRESTO Context triple: [Pioneer Village station, ticketingSystem, PRESTO]
-
A.
Presto
Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
-
B.
Presto card
chosen
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.
Para Transpo
Para Transpo is Ottawa’s specialized door-to-door public transit service providing accessible transportation for people with disabilities who cannot use conventional buses.
-
D.
PRR
PRR is the abbreviation commonly used for the Pennsylvania Railroad Company, once one of the largest and most influential railroads in the United States.
-
E.
Nextstop
Nextstop was a location-based social recommendation startup focused on helping users discover and share interesting places to visit.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba2b93dc819094e9cca1a5d9540a |
completed | March 8, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360deda448190a63a39688be2dbfb |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.