Triple

T8864898
Position Surface form Disambiguated ID Type / Status
Subject ATA-7 E210992 entity
Predicate alsoKnownAs P39 FINISHED
Object AT Attachment-7 E6172 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: AT Attachment-7 | Statement: [ATA-7, alsoKnownAs, AT Attachment-7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AT Attachment-7
Context triple: [ATA-7, alsoKnownAs, AT Attachment-7]
  • A. File 770
    File 770 is a long-running science fiction fanzine known for its extensive coverage of fandom news, conventions, and awards.
  • B. Annex A
    Annex A is the section of the Stockholm Convention on Persistent Organic Pollutants that lists chemicals designated for complete elimination of production and use.
  • C. Safe Attachments
    Safe Attachments is a Microsoft Defender for Office 365 security capability that scans and detonates email attachments in a sandbox environment to block malicious files before they reach users.
  • D. ATA
    ATA is the U.S. Department of State’s Office of Antiterrorism Assistance program that provides training and equipment to help foreign partners prevent and respond to terrorism.
  • E. ATA chosen
    ATA (Advanced Technology Attachment), commonly known as IDE, is a standard interface used to connect storage devices like hard drives and optical drives to a computer's motherboard.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610569d08190b108107dfe397f18 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0d311148190823cc047e2908bc0 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.