Triple

T36871236
Position Surface form Disambiguated ID Type / Status
Subject Kirby calculus E911226 entity
Predicate helpsConstruct P76723 FINISHED
Object handle decompositions of 4-manifolds from framed links 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: handle decompositions of 4-manifolds from framed links | Statement: [Kirby calculus, helpsConstruct, handle decompositions of 4-manifolds from framed links]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: helpsConstruct
Context triple: [Kirby calculus, helpsConstruct, handle decompositions of 4-manifolds from framed links]
  • A. helpsBuild chosen
    Indicates that one entity assists or contributes to the construction, creation, or development of another entity.
  • B. helpsIn
    Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
  • C. constructs
    Indicates that an agent builds, creates, or assembles something, typically resulting in a new or more complex entity or structure.
  • D. helpsProduce
    Indicates that one entity contributes to or facilitates the creation, generation, or production of another entity.
  • E. helpsDesign
    Indicates that one entity assists or contributes to another entity’s design or design process.
  • 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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fa0a7b00948190a257273d9968c5d7 completed May 5, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69f9fec9c9488190ae2a349651a02782 completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:13 p.m.