Triple

T96194
Position Surface form Disambiguated ID Type / Status
Subject Physics, Chemistry and Engineering E1936 entity
Predicate hasNotableDiscipline P592 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: [Physics, Chemistry and Engineering, hasNotableDiscipline, materials science]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableDiscipline
Context triple: [Physics, Chemistry and Engineering, hasNotableDiscipline, materials science]
  • A. associatedWithDiscipline chosen
    Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
  • B. supportsDiscipline
    Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
  • C. hasNotableSubject
    Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
  • D. offersDiscipline
    Indicates that one entity provides or makes available a particular field of study, training, or area of specialization to another entity.
  • E. hasNotableFeature
    Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a250cb400c8190b56343bbe19b48c7 completed Feb. 28, 2026, 2:19 a.m.
PD Predicate disambiguation batch_69a24ebd19c48190bab291fea0ecc0c2 completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.