Triple

T15206491
Position Surface form Disambiguated ID Type / Status
Subject ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages E363401 entity
Predicate topicalArea P28568 FINISHED
Object programming languages theory 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: programming languages theory | Statement: [ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, topicalArea, programming languages theory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topicalArea
Context triple: [ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, topicalArea, programming languages theory]
  • A. thematicArea chosen
    Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
  • B. primaryArea
    Indicates that one entity is the main or most important area, domain, or field associated with another entity.
  • C. strategicArea
    Indicates that an entity is designated as an area of strategic importance or priority within a broader plan, operation, or context.
  • D. area of activity
    Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
  • E. coreAreaOf
    Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
  • F. None of above.

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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b7964c8190bc8dc3444b94f15e completed April 15, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69deb97ee9d881908711dbe12a55283c completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:11 a.m.