Triple

T2207476
Position Surface form Disambiguated ID Type / Status
Subject Presto E50833 entity
Predicate usedBy P260 FINISHED
Object Opera 11 E244451 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: Opera 11 | Statement: [Presto, usedBy, Opera 11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera 11
Context triple: [Presto, usedBy, Opera 11]
  • A. Opera 10
    Opera 10 is a version of the Opera web browser known for its speed, standards compliance, and built-in features like tabbed browsing, email, and integrated search.
  • B. Opera 12 chosen
    Opera 12 is a legacy version of the Opera web browser known for its speed, customizability, and use of the Presto rendering engine before Opera transitioned to Chromium.
  • C. Opera web browser
    Opera web browser is a cross-platform web browser known for its speed, built-in privacy and productivity features, and innovative tools like a free VPN and ad blocker.
  • D. Opera Posthuma
    Opera Posthuma is the posthumously published collection of Baruch Spinoza’s major philosophical writings, including his seminal work Ethics.
  • E. Opus 100
    Opus 100 is a commemorative collection by Isaac Asimov that showcases excerpts and essays from his first hundred published books, reflecting the breadth of his work in science fiction and popular science.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfcbb83081908d5b2f1603c7b4d2 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71b629088190a5228a2f68500bd5 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:46 p.m.