Triple

T19170299
Position Surface form Disambiguated ID Type / Status
Subject Cenovus Energy E469301 entity
Predicate tickerSymbol P1447 FINISHED
Object CVE 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: CVE | Statement: [Cenovus Energy, tickerSymbol, CVE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CVE
Context triple: [Cenovus Energy, tickerSymbol, CVE]
  • A. CVE-60
    CVE-60 is the hull classification symbol for USS Guadalcanal, a World War II–era Casablanca-class escort aircraft carrier of the United States Navy.
  • B. CVE-73
    CVE-73 was the hull number of USS Gambier Bay, a U.S. Navy escort aircraft carrier that gained renown for her outmatched but valiant role and sinking during the Battle off Samar in World War II.
  • C. CWE
    CWE is the IATA airport code assigned to Cairo West Air Base, a military airfield serving the Cairo region in Egypt.
  • D. CWE
    CWE (Common Weakness Enumeration) is a community-developed catalog of common software and hardware security weaknesses used as a standard reference for identifying and classifying vulnerabilities.
  • E. CVE (Common Vulnerabilities and Exposures) entries chosen
    CVE (Common Vulnerabilities and Exposures) entries are standardized identifiers for publicly known cybersecurity vulnerabilities, used worldwide to consistently reference and track security issues across software and systems.
  • 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.