Triple

T575806
Position Surface form Disambiguated ID Type / Status
Subject Blink E13758 entity
Predicate usedIn P98 FINISHED
Object Opera Beta E50828 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 Beta | Statement: [Blink, usedIn, Opera Beta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera Beta
Context triple: [Blink, usedIn, Opera Beta]
  • A. Opera Posthuma
    Opera Posthuma is the posthumously published collection of Baruch Spinoza’s major philosophical writings, including his seminal work Ethics.
  • B. Opera Software
    Opera Software is a Norwegian software company best known for developing the Opera web browser and related internet technologies.
  • C. Presto
    Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
  • D. Opera web browser chosen
    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.
  • E. Pandora
    Pandora is a popular internet radio and music streaming service that offers personalized stations based on users’ musical preferences.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501bfb6408190bf7e1f462f39723d completed March 2, 2026, 3:19 a.m.
Created at: March 1, 2026, 7:33 p.m.