Triple

T11515723
Position Surface form Disambiguated ID Type / Status
Subject Advanced Macroeconomics E273024 entity
Predicate hasCompanionMaterial P2758 FINISHED
Object problem sets 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: problem sets | Statement: [Advanced Macroeconomics, hasCompanionMaterial, problem sets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCompanionMaterial
Context triple: [Advanced Macroeconomics, hasCompanionMaterial, problem sets]
  • A. hasCompanionPiece
    Indicates that one item is conceptually or functionally paired with another item as its companion piece.
  • B. hasCompanionPillar
    Indicates that an entity is associated with or supported by a corresponding companion pillar.
  • C. hasCompanionBook chosen
    Indicates that one entity (typically a primary work) is associated with another entity that serves as its companion book, providing supplementary or related content.
  • D. associatedWithMaterial
    Indicates a relationship where something is linked or connected to a particular material, typically as its substance, component, or relevant physical medium.
  • E. hasCompanionCandidate
    Indicates that an entity is associated with another entity that is being considered or proposed as a potential companion.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcc72a48190b81acedfcc8685d3 completed April 10, 2026, 4:42 a.m.
PD Predicate disambiguation batch_69d80876e5f0819088cff2e72f773cf6 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:36 p.m.