Triple

T15066803
Position Surface form Disambiguated ID Type / Status
Subject ACM Asia Conference on Computer and Communications Security E379775 entity
Predicate paperFormat P117185 FINISHED
Object peer-reviewed research papers LITERAL 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: peer-reviewed research papers | Statement: [ACM Asia Conference on Computer and Communications Security, paperFormat, peer-reviewed research papers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: paperFormat
Context triple: [ACM Asia Conference on Computer and Communications Security, paperFormat, peer-reviewed research papers]
  • A. paper1Type
    Indicates that one entity is classified as the primary or first type/category of the associated paper entity.
  • B. newspaperFormat
    Indicates the physical or layout format in which a newspaper is produced or presented (e.g., broadsheet, tabloid).
  • C. paperFormAvailability
    Indicates whether something is available or provided in a physical paper format.
  • D. hasPaper
    Indicates that an entity possesses, is associated with, or includes a specific paper (such as a document, publication, or written work) in some relevant context.
  • E. paper2Type
    Indicates that a given paper is associated with, or classified as, a specific type or category of paper.
  • F. None of above. chosen

Provenance (4 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeea750c819082d8823c9ab6c5a2 completed April 15, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69deb95a182081908fffc4402b02a394 completed April 14, 2026, 10:02 p.m.
PDg Predicate description generation batch_69dec71e8dcc81908badc834b6ccf273 completed April 14, 2026, 11 p.m.
Created at: April 10, 2026, 3:02 a.m.