Triple

T6009950
Position Surface form Disambiguated ID Type / Status
Subject Opera (Chromium-based) E133805 entity
Predicate hasComponent P35 FINISHED
Object Opera GX E357619 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 GX | Statement: [Opera (Chromium-based), hasComponent, Opera GX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera GX
Context triple: [Opera (Chromium-based), hasComponent, Opera GX]
  • A. Opera GX chosen
    Opera GX is a specialized web browser designed for gamers, featuring performance controls, gaming-inspired aesthetics, and integrations with platforms like Twitch and Discord.
  • B. CLTX Gaming
    CLTX Gaming is the official NBA 2K League esports team affiliated with the Boston Celtics organization.
  • C. Blazer5 Gaming
    Blazer5 Gaming is the official NBA 2K League esports team affiliated with the Portland Trail Blazers.
  • D. Playeros
    Playeros are an ethnic group of coastal Ndowe people from Equatorial Guinea, known for their maritime culture and Bantu heritage.
  • E. Google Stadia
    Google Stadia was a cloud gaming service by Google that allowed users to stream and play video games over the internet without dedicated gaming hardware.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f4e27a881909cc3f7fef62abc3b completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1089bd870819096c0f6c7cf484c50 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.