Triple
T17353830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agincourt GO Station |
E421880
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | PRESTO |
—
|
NE ONNED1 |
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: [Agincourt GO Station, fareSystem, PRESTO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRESTO Context triple: [Agincourt GO Station, fareSystem, PRESTO]
-
A.
Presto
Presto is an open-source, distributed SQL query engine designed for fast, interactive analytics on large-scale data from multiple sources.
-
B.
Presto
Presto is a Pixar animated short film featuring a comically disastrous magic show between a magician and his mischievous rabbit.
-
C.
Presto
Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
-
D.
Presto
chosen
Presto is a regional, reloadable smart card and electronic fare payment system used across public transit agencies in the Greater Toronto and Hamilton Area and parts of Ontario, Canada.
-
E.
Presto card
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.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2e660c81908700aed5c42e9043 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955a50dc819090c1a0ec111d9fc0 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.