Triple

T10373840
Position Surface form Disambiguated ID Type / Status
Subject Opera 12 E244451 entity
Predicate usesRenderingEngine P41986 FINISHED
Object Presto E50833 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: [Opera 12, usesRenderingEngine, Presto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Presto
Context triple: [Opera 12, usesRenderingEngine, Presto]
  • A. Presto chosen
    Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
  • B. Presto
    Presto is an open-source, distributed SQL query engine designed for fast, interactive analytics on large-scale data from multiple sources.
  • C. Presto
    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.
  • D. Premo
    Premo is the nickname of DJ Premier, a highly influential American hip-hop producer and DJ known for his gritty, sample-based boom-bap sound.
  • E. Avant
    Avant is a Spanish high-speed rail service brand operated by Renfe that focuses on medium-distance routes between nearby cities.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9804e708190b15f5d38cac9c4c1 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7956ca1e08190880342b22a55783f completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:02 p.m.