Triple

T24002866
Position Surface form Disambiguated ID Type / Status
Subject Master of Mathematics in Computer Science E594292 entity
Predicate mayIncludeTopic P24066 FINISHED
Object graph 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: graph theory | Statement: [Master of Mathematics in Computer Science, mayIncludeTopic, graph theory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayIncludeTopic
Context triple: [Master of Mathematics in Computer Science, mayIncludeTopic, graph theory]
  • A. includesTopics chosen
    Indicates that one entity contains, covers, or addresses the specified topics as part of its content or scope.
  • B. mayIncludeMode
    Indicates that one entity is allowed to contain or support a particular mode as one of its possible configurations or options.
  • C. mayIncludeFeature
    Indicates that one entity is allowed or able to contain, incorporate, or be associated with a particular feature.
  • D. mayIncludeRequirement
    Indicates that something can optionally contain or encompass a particular requirement as part of its definition or structure.
  • E. mayPublish
    Indicates that an entity has the permission or authorization to publish another entity or piece of content.
  • 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_69e288b9ecf08190b8c94a278f5674fe completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d4663ca081908317db5c7ce99934 completed April 29, 2026, 9:50 a.m.
PD Predicate disambiguation batch_69f17639d23c8190bed93434e2f9230a completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 9:39 p.m.