Triple

T21420471
Position Surface form Disambiguated ID Type / Status
Subject Ontario Line station (Thorncliffe Park) E528422 entity
Predicate fareSystem P395 FINISHED
Object PRESTO E709642 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: [Ontario Line station (Thorncliffe Park), fareSystem, PRESTO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PRESTO
Context triple: [Ontario Line station (Thorncliffe Park), 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee62d392e08190b7f378005afc9026 completed April 26, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2a337f88190a1d29604cc0641cd completed May 17, 2026, 1:29 p.m.
Created at: April 16, 2026, 5:48 p.m.