Triple

T19170321
Position Surface form Disambiguated ID Type / Status
Subject Cenovus Energy E469301 entity
Predicate listedInCurrency P134701 FINISHED
Object US dollar NE NERFINISHED

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: US dollar | Statement: [Cenovus Energy, listedInCurrency, US dollar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US dollar
Context triple: [Cenovus Energy, listedInCurrency, US dollar]
  • A. US dollar chosen
    The US dollar is the official currency of the United States and the world’s primary reserve currency used widely in global trade and finance.
  • B. Dollar
    Dollar is a small historic town in Clackmannanshire, Scotland, known for its scenic setting near the Ochil Hills and the nearby Castle Campbell.
  • C. Dollar
    Dollar was a British pop duo, formed by David Van Day and Thereza Bazar, known for their catchy synth-pop hits in the late 1970s and early 1980s.
  • D. USD(P)
    USD(P) is the senior U.S. Department of Defense official responsible for developing and overseeing national defense policy and strategic guidance.
  • E. USD
    USD (Universal Scene Description) is an open-source 3D scene description and interchange framework developed by Pixar, widely used for creating, composing, and collaborating on complex virtual worlds and assets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f163c5888190b4880471d17b4f51 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.