Triple

T23312866
Position Surface form Disambiguated ID Type / Status
Subject STIX E590627 entity
Predicate relatedStandard P37 FINISHED
Object TAXII 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: TAXII | Statement: [STIX, relatedStandard, TAXII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAXII
Context triple: [STIX, relatedStandard, TAXII]
  • A. TAXII chosen
    TAXII (Trusted Automated eXchange of Indicator Information) is a cybersecurity protocol that enables the automated, secure sharing of threat intelligence between organizations and systems.
  • B. Sucuri
    Sucuri is a website security company best known for its malware removal, firewall, and protection services for websites and online businesses.
  • C. Tenable
    Tenable is a British daytime television quiz show, hosted by Warwick Davis, in which teams of contestants attempt to complete top-ten lists on a variety of topics.
  • D. IronPort
    IronPort is an email and web security company best known for its high-performance anti-spam and anti-malware gateway appliances, later acquired by Cisco Systems.
  • E. CloudCuckooLand
    CloudCuckooLand is a poetry collection by British poet Simon Armitage that showcases his characteristic blend of wit, contemporary reference, and inventive language.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972ca70481909e2415c65964210a completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:06 p.m.