Triple

T17015700
Position Surface form Disambiguated ID Type / Status
Subject Baron Stern of Brentford E412814 entity
Predicate holderAcademicSpecialism P43754 FINISHED
Object climate change economics 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: climate change economics | Statement: [Baron Stern of Brentford, holderAcademicSpecialism, climate change economics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: holderAcademicSpecialism
Context triple: [Baron Stern of Brentford, holderAcademicSpecialism, climate change economics]
  • A. housesAcademicDiscipline
    Indicates that an entity serves as the location or institutional home where a particular academic discipline is based, organized, or conducted.
  • B. researchFocusSince
    Indicates the point in time since which an entity has maintained a particular research focus or area of study.
  • C. regionOfAcademicFocus chosen
    Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
  • D. academicProfile
    Indicates the relationship that captures an entity’s academic background, qualifications, and scholarly activities or achievements.
  • E. regionOfAcademicInterest
    Indicates that an entity has a particular academic field or subject area as its focus of interest or study.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47f198c8190b0473f638101f606 completed April 18, 2026, 6:59 p.m.
PD Predicate disambiguation batch_69e35d5be7f48190af9db67a1e23850f completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:33 a.m.