Triple

T23944480
Position Surface form Disambiguated ID Type / Status
Subject Minnesota Mining and Manufacturing Company E602875 entity
Predicate hasResearchAndDevelopmentFocus P43753 FINISHED
Object materials science 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: materials science | Statement: [Minnesota Mining and Manufacturing Company, hasResearchAndDevelopmentFocus, materials science]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasResearchAndDevelopmentFocus
Context triple: [Minnesota Mining and Manufacturing Company, hasResearchAndDevelopmentFocus, materials science]
  • A. hasDevelopmentFocus
    Indicates that an entity is primarily concerned with or directed toward a particular area, goal, or aspect of development.
  • B. hasRAndDInvestment
    Indicates that an entity allocates resources or funding toward research and development activities.
  • C. developmentFocusedOn
    Indicates that the primary effort or activity of development is directed toward a specific target, aspect, or objective.
  • D. hasResearchComponent
    Indicates that an entity includes, involves, or is associated with a research-related component or activity.
  • E. hasResearchOrientation chosen
    Indicates that an entity is associated with a particular focus, direction, or approach in its research activities.
  • 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_69e2953e4924819093f1c24c03476b42 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d02d07b08190acbcbb646cd9a58e completed April 29, 2026, 9:32 a.m.
PD Predicate disambiguation batch_69f1615518088190a206f54e2fdb14a3 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 9:11 p.m.